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.

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.

 

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 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 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.

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.

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.

 

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 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.

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.

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.

 

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 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.

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.

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.

 

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 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.

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.

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.

 

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 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.

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.

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.

 

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 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.

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.

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.

 

The Role

As a Senior Software Engineer on the Full Stack HITL team, you will own significant features of kAIgentic’s human-agent collaboration platform. You’ll design and build the interfaces where enterprise users review AI decisions, provide feedback, and maintain control over high-stakes workflows in regulated environments.

What You’ll Do

• Design and implement schema-driven UI systems that render dynamically based on task context; build “Editable Reasoning” interfaces where humans can inspect and override agent logic
• Implement streaming UI patterns that display agent “thinking” in real-time without flicker or lag
• Develop interrupt-and-resume backend patterns that pause agents, capture context, and ingest human feedback
• Create state visualization for durable workflows showing Suspended, Active, and Completed states; build bulk action interfaces with audit integrity (state snapshots at decision points)
• Implement context handoff logic between agents and humans; design component registries that map schema types to UI widgets without hardcoding
• Own features end-to-end from API design through frontend implementation; drive AI-native development practices for rapid UI iteration

What You’ll Bring

• 4+ years of experience building production web applications; expert AI-native development capability (mandatory)
• Strong proficiency in React, TypeScript, and modern frontend architecture; solid backend skills in Go or Python; deep expertise in 2-3 of the following:
• Schema-driven or configuration-driven UI systems; real-time and streaming interfaces; complex workflow visualization
• State management for multi-step processes; human-in-the-loop interaction patterns
• Integration with workflow orchestration engines; experience building data-intensive enterprise applications
• Strong product intuition and attention to UX detail

 

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.