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Location: Bangalore, India

Employment Type: Full-time

Experience: 12+ years

 

About kAIgentic

kAIgentic is a Singapore-headquartered startup, with presence across Singapore, India and Japan, on a mission to help enterprises evolve as fast as technology by turning their hidden know-how into safe, AI-powered operations. Most large organizations struggle to transform. Their tacit knowledge lives in people’s heads; systems are fragmented, and risk appetite is low. Our platform captures how work happens, designs better workflows, and runs them as governed by agentic operations. The result: organizations that continuously improve, instead of changing in slow, risky bursts.

We’re backed by SMBC Group as our founding partner and “customer zero”, and our platform is already being proven in one of the world’s most complex, regulated environments. That gives us access to real problems, real data, and real 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’re a global team of builders who thrive in ambiguity, care deeply about customers, and believe in the power of AI to reshape enterprise work.

We look for people who:

• Bring technical excellence and customer empathy together.
• Are entrepreneurial and excited to work on zero-to-one problems.
• Lead with ownership, integrity, and collaboration.
• want to shape not just a product, but a new category of enterprise AI.

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

What It Feels Like to Work at kAIgentic?

• Innovation at Scale: Combine startup agility with enterprise-grade challenges.
• Ownership from Day One. Your work directly shapes product, culture, and customer outcomes.
• Learning & Growth – Work with seasoned leaders (ex-Microsoft, AWS, UiPath, Wipro, GE, Genpact) who’ve built and scaled global businesses.
• A culture of trust and psychological safety where experimentation is encouraged.
• Global collaboration across Singapore, India, Japan, Europe, and the US.
• A shared mission to build something the world hasn’t seen before: AI Agents that continuously improve how enterprises run.

Apply Now