Bangalore – kAIgentic

Security Operations

About kAIgentic

kAIgentic is building the intelligence layer for the world’s most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, we help large organizations evolve as fast as technology itself by turning the tacit know-how locked inside their people into safe, governed, AI-powered operations.

The hardest part of enterprise transformation is not strategy. It is execution. Institutional knowledge lives in people’s heads, systems are fragmented, and risk tolerance is low. kAIgentic captures how work actually happens, designs better workflows, and runs them inside an intelligence layer that is observable, auditable, and engineered for the most regulated environments on earth. The outcome is an enterprise that continuously improves, instead of lurching through slow, costly transformation cycles.

We are backed by SMBC Group as our founding partner and customer zero, and our platform is already being proven inside one of the most complex, regulated operating environments in the world. That means real problems, real data, and real production impact from Day 1.

Senior Security Operations Engineer

The Role

As a Senior Security Operations Engineer, you will own the live defense of kAIgentic’s intelligence layer. You will run our detection, response, and threat-hunting practice across cloud, endpoint, identity, SaaS, and AI surfaces, and keep the platform that financial institutions depend on safe in production every single day.

This is a pure SecOps role. Operational, technical, and high-trust. You will build the detection stack, tune the signal, hunt the threats other tools miss, run incidents to closure, and codify every learning into runbooks, automations, and controls. As we scale into more regulated customers, you will be the engineer who keeps the lights green inside an attack surface that is, by design, AI-native and unusually dynamic.

What You’ll Do

Own end-to-end detection engineering across cloud (AWS, Azure, GCP), identity (Okta, Entra), endpoints, SaaS, and AI pipelines, including detections for prompt injection, model abuse, RAG poisoning, and tool-call misuse.
Run incident response end to end: triage, containment, eradication, recovery, customer communication, and the post-incident review that makes the next incident smaller.
Lead proactive threat hunting against high-value targets across infrastructure, identity, code repositories, secrets, and AI pipelines.
Tune and operate the SIEM, EDR, CSPM, and SOAR stack. Move noisy alerts to automated decisions and keep human judgment where it matters.
Build the SecOps automation layer in Python and SOAR playbooks: enrichments, response actions, evidence capture, ticketing, and customer notifications.
Operate vulnerability management end to end: prioritization, patch SLAs, exception handling, and validation. Hold engineering accountable for fixing what matters.
Run identity threat detection and response (ITDR), including session anomalies, OAuth abuse, MFA fatigue, and AI assistant or service-account token misuse.
Own the on-call rotation, incident drills, tabletops, and game days. Keep the muscle in shape across the team.
Partner with platform, infrastructure, and AI engineering teams to harden model, agent, and tool surfaces against new classes of attack and abuse.
Translate operational learnings into hardened controls, detections, and policies, and feed clean evidence into audit and customer trust workflows when needed.
Use AI fluently across detection authoring, alert triage, incident drafting, and threat enrichment to operate with higher leverage and tighter cycle times.

What You’ll Bring

5+ years in security operations, detection and response, incident response, or threat hunting. This is not a GRC or audit role.
AI-native velocity as a default mode of working (mandatory). Comfortable using AI in day-to-day work to write detections, accelerate triage, draft incident artefacts, and move faster with judgment.
Strong Python or equivalent scripting skills for detection engineering, automation, and tooling.
Hands-on experience with at least one major cloud (AWS, Azure, or GCP) and its security primitives: IAM, KMS, GuardDuty / Defender, VPC, and audit logging.
Hands-on experience operating SIEM (Splunk, Sumo, Elastic, Panther, or similar), EDR (CrowdStrike, SentinelOne, Defender, or similar), and SOAR.
Proven track record of running real incidents to closure end to end, including communication under pressure.
Strong fundamentals: TCP/IP, TLS, OS internals, OAuth / OIDC, Kubernetes basics, and modern attack chains.
Calm under pressure. High-judgment, low-drama operator who improves the team’s composure rather than draining it.

Nice to have

Detection and response experience in regulated industries such as financial services, fintech, regtech, or healthcare.
Familiarity with AI-specific attack surfaces: prompt injection, model exfiltration, agent abuse, RAG poisoning, and tool-call misuse.
Purple-team or offensive security background (OSCP, GPEN, GCIH, or equivalent practical work).
GCFA, GCIH, GCDA, GCFR, OSDA, or equivalent SecOps certification.
Experience standing up or significantly maturing a SecOps function inside a startup.

What great looks like

Early win. You replace the noisiest, lowest-value detections with high-fidelity ones, and meaningfully shorten mean time to triage on the alert classes that matter most.

In a year. You have built a measurably mature SecOps function. Detections cover the attack surfaces that matter, incident response is rehearsed and fast, AI-specific threats have first-class coverage, and our customers feel safer because of the work you do.

Why join kAIgentic?

We are a global team of builders who thrive in ambiguity, care deeply about the customers we serve, and believe the intelligence layer is how enterprise work gets reshaped over the next decade. We are not building productivity tools. We are building the connective tissue that lets large, regulated companies operate with the speed of a startup and the trust of an institution.

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

What it feels like to work at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from Microsoft, AWS, UiPath, Wipro, GE, and Genpact who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

kAIgentic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Senior Human Resources Business Partner

About kAIgentic

Senior HR Business Partner

The Role

As a Senior HR Business Partner, you will work directly with the CHRO, the Head of Talent Acquisition, and the core leadership team to build the people foundation that lets kAIgentic’s intelligence layer scale. You will solve the hardest problems in building a high-performance, AI-native culture, designing people systems that use AI natively, and standing up the early-career talent engine that powers our next phase of growth.

This is a role for a hands-on, systems-thinking HR professional who wants to do more than run processes. You will translate our values of customer obsession, courage, care, and curiosity into how the company actually operates, and you will partner with our tech team to shape AI-first people systems where the work is real and directly tied to how kAIgentic grows.

What You’ll Do

Build and scale a high-performance, AI-native culture rooted in our values of customer obsession, courage, care, and curiosity, and launch programs that bring those values to life every day.
Translate mission and principles into daily operating norms: decision rights, feedback mechanisms, and leadership behaviors that match our growth phase.
Partner with Product and Engineering to design and embed AI-native HR workflows, including performance review, listening mechanisms, AI-assisted policy Q&A, and people analytics summaries, into how HR operates.
Design lightweight performance and feedback rhythms suited to a high-bar, low-politics, early-stage environment.
Lay the analytics foundation. Implement HRIS, build simple dashboards, and ensure clean, reliable people data.
Partner with Talent Acquisition to sharpen our employer brand and Employee Value Proposition, build a champion community of employees who tell our story externally, and collaborate on content and social campaigns.
Build the end-to-end early-career talent engine: target institutions, role design, internships, fellowships, live projects, and case challenges, with structured 0-to-1 learning paths so freshers contribute to real work from week one.
Own the lifecycle moments that shape employee experience: onboarding, manager connects, performance reviews, career conversations, and exits.
Drive the annual performance review cycle for India leaders across Engineering, Product, and Customer Success.
Build engagement mechanisms such as pulse checks, team connects, and recognition forums, and translate employee signal into practical actions with managers and leaders.
Partner with managers to spot early signs of friction, disengagement, or manager-effectiveness gaps, and resolve them with speed and maturity.
Manage grievances with fairness, confidentiality, and judgment. Stand up the Grievance Committee and POSH foundation.
Work with external partners (search firms, legal, payroll / PEO, advisors) to continuously improve the experience of core HR operations.

What You’ll Bring

7+ years of experience in HR, with a strong mix of Talent Acquisition and HR business partnering or people operations.
AI-native velocity as a default mode of working (mandatory). Curious about how AI-native workflows can make HR sharper, faster, and fairer, and willing to learn by doing.
Proven experience partnering with Product and Engineering leaders and driving engagement of senior tech talent in product / SaaS, fintech, consulting, or high-growth tech startups where the bar for talent and pace is high.
Hands-on experience setting up or significantly improving HR processes, policies, and tools in a lean environment.
High ownership bias. You see gaps, propose solutions, and run them to the ground.
Comfort working directly with founders and senior leaders, including pushing back thoughtfully using data and judgment.
Energized by complex domains even when you are not yet an expert, with a track record of learning quickly.
Sound judgment, discretion, and fairness in handling sensitive employee matters.

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

What it feels like to work at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from Microsoft, AWS, UiPath, Wipro, GE, and Genpact who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

kAIgentic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Lead, Finance & Compliance

About kAIgentic

The Role

As Lead of Finance & Compliance, you’ll build the financial operating layer at kAIgentic from scratch: the controls, close calendar, and audit posture that let an enterprise AI company scale across India, Singapore, and Japan. You’ll own finance, compliance, and governance for the India entity, and you’ll partner with leadership on the cross-border setup connecting our Singapore and Japan presence. This is a founder-adjacent role with broad ownership and external visibility.

What You’ll Do

Own finance operations, accounting, reconciliations, and monthly closes for the India entity, in line with applicable accounting standards and group reporting requirements.
Run GST, TDS, statutory filings, payroll, and tax compliance end-to-end; manage auditors, tax consultants, payroll providers, and bankers as a single accountable owner across India and Singapore.
Coordinate transfer pricing documentation and operational workflows between India and Singapore, working alongside external advisors.
Build the financial control plane and internal controls: approval workflows, expense policies, vendor and procurement SOPs, accounting systems and tooling, and the safeguards that protect company assets and mitigate financial risk.
Run cash flow operations, AR/AP discipline, banking, and treasury workflows; deliver timely, clean financial data that supports leadership decisions and group reporting.
Lead enterprise customer audit, security, and compliance responses, which are now a core part of the enterprise deal cycle.

What You’ll Bring

You’re a CA with 6 to 10 years across finance, compliance, controllership, or finance operations.
You’ve scaled finance operations inside a SaaS company or a startup, ideally one that grew meaningfully through revenue or headcount inflection while you were there.
You bring strong command of GAAP or IFRS and financial reporting, and you’re hands-on with accounting platforms like Tally, NetSuite, or similar.
You’ve operated inside cross-border structures and understand how Indian compliance interacts with Singapore, Japan, or other parent and subsidiary setups.
You’re hands-on by default. You build the systems you need without waiting for someone else to build them for you.
You hold a high bar on documentation, audit trails, and process rigor; it’s how great companies run. You can independently manage audits, customer compliance reviews, and external partners with calm and follow-through.

Why join kAIgentic?

We are a global team of builders who thrive in ambiguity, care deeply about the customers we serve, and believe the intelligence layer is how enterprise work will be reshaped over the next decade. We are building the connective tissue that lets large companies operate with the speed of a startup and the trust of an institution.

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Principal Product Manager

About kAIgentic

Principal Product Manager, AI Transformation Platform

The Role

As a Principal Product Manager, you will set the long-term product direction for kAIgentic’s intelligence layer and own the highest-leverage problems in turning manual, document-driven enterprise work into adaptive learning systems. You will be the product authority for how we reimagine workflows that move billions, including credit origination, risk approvals, and KYC/AML, starting in financial services and expanding across industries.

This is a role for someone who has built and shipped category-defining enterprise platforms before, who can hold vision and execution in the same hand, and who can sit credibly across a CFO, a Chief Risk Officer, a Head of Engineering, and a regulator in the same week. You will define what good looks like in this new category, set the bar for PM craft inside kAIgentic, and grow the team behind you into it.

What You’ll Do

Set the multi-year product vision and strategy for kAIgentic’s AI Transformation Platform, including the operating thesis, target outcomes, and the path beyond banking.
Own the highest-stakes product surfaces end to end. Turn workflows that move billions, including credit origination, risk approvals, and KYC/AML, into measurable outcomes: adoption, cycle-time reduction, STP %, risk defect rate, and ROI.
Architect the product design of multi-agent workflows across BPMN, Temporal, and ServiceNow, integrating with core banking (Temenos, Finacle), CRM and LOS (Salesforce, nCino), data platforms (Azure, Snowflake, Databricks), KYC/AML, and Microsoft 365 / Teams / Power Platform, and connecting to ERP (SAP, Oracle) for finance and reconciliation touchpoints.
Define and uphold the LLMOps and MLOps standard for the platform: prompt and version management, offline and online evaluations, telemetry, rollback, hallucination and risk grading, and safety testing.
Embed Responsible AI and Compliance-by-Design principles (NIST AI RMF, auditability, explainability, data residency, PII controls, ambient audit) into every product surface and into how the product team thinks.
Run discovery with global enterprise customers, surface tacit knowledge, codify it into reusable playbooks, and convert it into product primitives that compound across customers. Shape GTM at the strategic level: pricing and packaging, SI and ISV alliances, marketplaces, and co-sell motions. Represent the product to C-suite, Compliance, Model Risk, and regulator forums.
Set the bar for PM craft at kAIgentic. Mentor senior PMs, evolve our writing and review standards, and create the conditions where small teams ship outsized outcomes.
Influence technical direction across product, engineering, and AI research, and serve as a trusted thought partner to founders and the exec team.Build the category externally. Speak, write, and engage analysts and design partners to help define what continuously improving enterprise intelligence means.

What You’ll Bring

12+ years of product management experience (or equivalent impact) building and scaling complex B2B or enterprise platforms, including 5+ years with AI, automation, or workflow systems.
AI-native velocity as a default mode of working (mandatory).
Demonstrated category-defining impact. You have led the product vision and shipping of a flagship enterprise platform that became a standard in its space.
Proven track record of shipping AI-driven or data-intensive products in regulated industries (banking, fintech, regtech, or ERP / CRM) at meaningful scale.
Deep expertise in enterprise data models, integration patterns (APIs, events, iPaaS), and security (SSO / SAML / OIDC, RBAC / ABAC, SOC 2, ISO 27001).
Fluency with multi-tenant SaaS and workflow or automation technologies such as Camunda, Temporal, UiPath, ServiceNow, Kafka, and MuleSoft.
Hands-on familiarity with LLMOps and MLOps, evaluation pipelines, and guardrails for AI safety, fairness, and reliability, deep enough to set the bar.
Strategic and execution-driven in equal measure. Comfortable setting a three-year vision in the morning and reviewing a PRD in the afternoon.
Exceptional written and verbal communicator who is trusted in front of CXOs, regulators, auditors, and engineers. A track record of growing and mentoring senior PMs into great ones.

Nice to have

Banking or risk domain expertise across credit, KYC/AML, credit policy, or Ringi-style approvals.
Experience engaging Japanese stakeholders and navigating cross-cultural enterprise governance.
Working knowledge of data security, privacy, and regulatory tech stacks (GDPR, Basel, KYC/AML).
Public artefacts: talks, papers, or design partnerships that show category leadership.

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

What it feels like to work at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from Microsoft, AWS, UiPath, Wipro, GE, and Genpact who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

kAIgentic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Principal Engineer, AI Platform & Infrastructure

About kAIgentic

The Role

As Principal Engineer, AI Platform & Infrastructure, you will be a senior technical owner for the core architecture behind kAIgentic’s orchestration platform.

Working closely with the CTO and engineering leadership, you will translate company-level technology strategy into durable, production-grade systems. You will make high-judgment architecture decisions across platform infrastructure, stateful execution, reliability, security, scalability, and enterprise-grade compliance.

This is a role for someone who can go deep into distributed systems and AI platform infrastructure, turn ambiguous platform problems into clear technical designs, and see those designs through to real-world deployment.

You will shape how engineering teams think about durable execution, stateful AI systems, observability, auditability, and production reliability. You may also support high-trust technical conversations with banking partners, regulators, and enterprise customers where deep platform expertise is required.

The work sits at the intersection of distributed systems, AI infrastructure, and enterprise compliance. You will lead a lean, embedded technical team on the highest-priority platform programs, while partnering closely with the CTO on broader platform direction.

What You’ll Do

Own the architecture and execution of core platform systems that power kAIgentic’s orchestration layer, translating company-level technology strategy into concrete designs, platform primitives, and production systems.
Make high-judgment architecture decisions across durable execution, state management, workflow reliability, observability, scalability, security, and enterprise-grade compliance.
Design and build systems for long-running, stateful AI workflows that require auditability, recoverability, deterministic behavior, and production-grade reliability.
Solve hard platform problems across workflow semantics, model non-determinism, human-in-the-loop execution, failure recovery, and real-world operating constraints.
Partner deeply with AI Infrastructure, DevOps/MLOps, AI Research, Product, and Security to ensure platform decisions hold across customer, banking, and regulated environments.
Raise the engineering bar through architecture reviews, design reviews, mentoring, and hands-on technical leadership, while leading a lean embedded team on the highest-priority platform programs.

What You’ll Bring

Deep backend, platform, or infrastructure engineering experience, with a proven ability to design, build, and operate distributed systems under real production complexity.
Strong track record of making platform architecture decisions that held under scale, ambiguity, and production pressure.
Expert-level depth in Go and Python, including runtime behavior, concurrency models, and production performance under load.
Deep expertise across several of these areas: durable execution engines, long-running workflow systems, stateful orchestration, control-plane design, observability, multi-tenant platforms, service architecture, security, and compliance-driven systems.
Experience building systems that require auditability, reliability, recoverability, operational trust, and enterprise-grade governance.
AI-native velocity as a default mode of working, with the ability to communicate complex technical decisions clearly across engineering, product, executive, customer, and compliance audiences.

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be shaping the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Staff Engineer, Full Stack (HITL)

About kAIgentic

The Role

As a Staff Engineer on the Full Stack HITL team, you will define how humans and AI agents collaborate across kAIgentic’s enterprise platform. You’ll shape the interaction paradigms that make agentic AI safe, auditable, and effective in high-stakes financial environments—where 100% autonomy is a risk, not a goal.

What You’ll Do

Define the long-term vision for kAIgentic’s human-agent collaboration architecture; architect the metaprogrammed UI framework where interfaces reconfigure dynamically based on agent intent and task context
Design the “Control Plane” experience philosophy—humans as supervisors, not just approvers; own the interrupt-and-resume architecture ensuring agents can pause, hand off rich context, ingest human feedback, and continue seamlessly
Define the audit-by-design framework capturing UI state snapshots at every decision point for regulatory compliance; architect the streaming interaction layer for real-time agent reasoning display at scale
Design patterns for progressive disclosure of agent complexity—simple approvals for routine tasks, deep reasoning inspection for edge cases; establish the “Bulk Action” architecture ensuring mass operations maintain individual audit integrity
Define frontend architecture standards and patterns across all product teams; influence product direction based on deep understanding of human-AI interaction
Evaluate emerging technologies in AI interfaces and agent UX; mentor leads and senior engineers on HITL system design; represent kAIgentic’s HITL capabilities to enterprise customers

What You’ll Bring

12+ years of experience in full stack engineering with deep frontend expertise; AI-native velocity as a default mode of working (mandatory); expert-level mastery of React, TypeScript, and frontend architecture
Strong backend proficiency in Go and Python; deep expertise in 4+ of the following:
Schema-driven and metaprogrammed UI systems; enterprise SaaS platform UI architecture; human-in-the-loop and human-in-the-middle system design
Real-time collaborative interfaces; workflow visualization and state management at scale; design system architecture and component frameworks
Audit trail systems and compliance-driven UX; integration with durable execution engines; experience designing UIs for regulated, high-stakes environments; track record of defining UI architecture adopted across multiple teams
Strong product sense and ability to advocate for user experience; exceptional communication skills for technical and non-technical audiences

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Staff Engineer, DevOps

About kAIgentic

The Role

As a Staff Engineer on the DevOps/MLOps team, you will be the technical authority for infrastructure and operations across kAIgentic’s enterprise platform. You’ll define how we deploy, scale, observe, and operate agentic AI systems reliably in the most demanding regulated environments.

What You’ll Do

Define the long-term infrastructure vision for kAIgentic’s global enterprise deployments; architect multi-region, multi-tenant cloud infrastructure meeting bank-grade reliability and compliance requirements
Design the unified CI/CD platform strategy spanning application code, infrastructure, ML models, and RAG pipelines; own the Kubernetes platform architecture including GPU federation, cost optimization, and enterprise isolation
Define the observability architecture unifying application metrics, agentic workflow tracing, LLP performance monitoring, and audit logging; architect the LLM operations strategy including multi-provider routing, failover, cost optimization, and latency SLOs
Design the MLOps platform roadmap for model lifecycle management at enterprise scale; establish the reliability engineering culture including SLO frameworks, chaos engineering, and incident management
Define infrastructure security architecture including zero-trust networking, secrets management, and compliance automation; drive platform efficiency and cost optimization across all AI workloads; influence infrastructure direction across all engineering teams
Evaluate emerging technologies in cloud-native and AI infrastructure; mentor leads and senior engineers on platform architecture; represent kAIgentic’s infrastructure capabilities to enterprise customers and support deployment planning

What You’ll Bring

12+ years of experience in DevOps, SRE, or platform engineering; AI-native velocity as a default mode of working (mandatory)
Expert-level proficiency in Python and Go; deep expertise in 4+ of the following:; cloud architecture for regulated enterprises (multi-region, compliance)
Kubernetes platform engineering at scale; CI/CD and GitOps architecture for complex systems; observability architecture (metrics, traces, logs at scale); reliability engineering and SRE practices; LLM operations (serving, routing, optimization)
Infrastructure security and compliance automation; cost optimization for AI/ML workloads at scale
Experience operating infrastructure for financial services or similarly regulated industries; track record of defining infrastructure strategy adopted across organizations
Exceptional architectural judgment and communication skills; ability to translate infrastructure capabilities for business stakeholder

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Lead Engineer, Platform

About kAIgentic

The Role

As a Lead Engineer on the AI Infrastructure team, you will drive the technical direction of kAIgentic’s durable orchestration platform. You’ll own critical subsystems, guide architectural decisions, and lead a team of engineers building the stateful backbone that powers enterprise agentic AI

What You’ll Do

Lead the design and implementation of Temporal-based workflow infrastructure for enterprise deployments
Architect the orchestration layer for complex multi-agent systems using LangGraph; define patterns for hierarchical context propagation across agentic workflows
Own the observability strategy using Langfuse and Arize Phoenix for deep agent tracing and evaluation; design self-correction and validation systems that eliminate hallucinations in production
Build interrupt-and-resume patterns that preserve perfect audit trails; lead technical execution across the AI Infrastructure team
Make build-vs-buy decisions and evaluate emerging agentic technologies; mentor senior engineers and raise engineering standards
Drive AI-native development practices as a force multiplier for the team

What You’ll Bring

8+ years of experience in backend or infrastructure engineering
Expert AI-native development capability (mandatory)
Strong expertise in Go (control plane, high-concurrency systems) and Python(intelligence layer, model orchestration)
Deep expertise in 3+ of the following:
- Durable execution engines (Temporal, Cadence)
- Agentic orchestration and LLM pipelines
- Distributed state management
- High-availability systems design
- Observability platforms and tracing infrastructure
- gRPC and cross-language service architectures
Experience leading technical teams and projects; strong architectural thinking and communication skills
Track record of building systems that operate at scale in production

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Software Engineer-III, Platform

About kAIgentic

The Role

As a Senior Software Engineer on the AI Infrastructure team, you will own significant components of kAIgentic’s agentic orchestration platform. You’ll design and build systems that handle stateful, long-running AI workflows with enterprise-grade reliability and observability.

What You’ll Do

Design and implement durable workflow systems using Temporal for multi-step agentic processes
Build the orchestration layer for LangGraph-based agent coordination
Develop self-correction loops that validate LLM outputs and trigger re-prompting on schema failures
Create comprehensive observability pipelines using Langfuse and Arize Phoenix
Implement interrupt-and-resume patterns for human-in-the-loop workflows; own reliability and failure handling for critical workflow components
Mentor junior engineers through code reviews and design discussions; drive AI-native development practices across the team

What You’ll Bring

4+ years of experience building production backend or infrastructure systems; expert AI-native development capability (mandatory)
Strong proficiency in Go and Python; deep expertise in 2-3 of the following:
Durable execution engines (Temporal, Cadence, or similar); agentic AI systems and LLM orchestration
Distributed systems at scale; observability and tracing systems
gRPC and service mesh architectures; experience with state management in distributed environments
Track record of owning and delivering complex technical projects

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.

Software Engineer -III, Full Stack (HITL)

About kAIgentic

The Role

As a Lead Engineer on the Full Stack HITL team, you will drive the architecture of kAIgentic’s human-agent collaboration platform. You’ll define how humans interact with agentic AI in high-stakes financial workflows designing the patterns for review, intervention, and oversight that make AI safe for enterprise deployment.

What You’ll Do

Architect the “Schema-to-UI” bridge—a generic rendering system where new business processes onboard without writing new components
Design the component registry pattern mapping field types to library components dynamically; own the “Agent Context” display architecture showing what the agent tried, where it got stuck, and what it needs from humans
Define patterns for “Editable Reasoning” allowing humans to drill into agent logic and overrule specific branches; architect streaming UI infrastructure for real-time agent monologue without performance degradation
Design the state management layer integrating frontend with Temporal workflow states; build the “Bulk Action Wizard” pattern ensuring audit integrity across mass operations
Define data-fetching architecture decoupling UI widgets from specific API endpoints; lead technical execution across the Full Stack HITL team
Make build-vs-buy decisions for UI frameworks and component libraries; mentor senior engineers on HITL interaction design; drive AI-native development practices to generate atomic widgets and accelerate delivery

What You’ll Bring

8+ years of experience in full stack engineering with frontend depth; expert AI-native development capability (mandatory); expert-level React and TypeScript skills
Strong backend proficiency in Go or Python; deep expertise in 3+ of the following:
Schema-driven UI architecture and metaprogrammed interfaces; enterprise SaaS UI systems; human-in-the-loop workflow design
Real-time and streaming frontend architecture; complex state management for workflow applications; design systems and component library architecture; integration with durable execution engines (Temporal)
Experience building UIs for regulated industries (finance, healthcare); strong architectural thinking spanning frontend and backend
Ability to translate complex workflows into intuitive user experiences

Why join kAIgentic?

We look for people who:

Combine technical excellence with genuine customer empathy.
Are entrepreneurial and energized by zero-to-one problems with no playbook.
Lead with ownership, integrity, and collaboration, not titles.
Want to help define a new category of enterprise AI, not just ship inside an existing one.

Working here means being surrounded by peers who challenge assumptions, celebrate progress, and build with both courage and care.

Life at kAIgentic

Intelligence layer at the core. You will be building the substrate that turns institutional knowledge into governed, production-grade operations. This is not a wrapper on a model. It is enterprise infrastructure with real consequences.
Innovation at enterprise scale. Startup velocity meets the depth, scale, and stakes of mission-critical, regulated environments. Both are non-negotiable.
Ownership from Day One. Your work directly shapes the product, the culture, and the outcomes our customers see.
Learning and growth. You will work alongside seasoned leaders from leading enterprises who have built and scaled global businesses.
A culture of trust. Psychological safety, transparent disagreement, and disciplined experimentation are how we operate, not slogans on a wall.
Global collaboration. Teams across Singapore, India, Japan, Europe, and the US, working as one.
A mission worth the effort. Building something the world has not seen before: an intelligence layer that helps enterprises continuously improve how they run.