Location: Bangalore, India
Employment Type: Full-time
Experience: 4+ 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 SDE 2 on the DevOps/MLOps team, you will own critical infrastructure systems that keep kAIgentic’s agentic AI platform running reliably. You’ll design CI/CD pipelines for both application and ML stacks, build observability infrastructure, and ensure our platform scales to meet enterprise demand
What You’ll Do
- Design and implement CI/CD pipelines for application code
- Build and optimize Kubernetes infrastructure workloads
- Implement GitOps workflows with progressive rollouts and feature flags
- Deploy and scale Temporal clusters for durable workflow execution
- Build observability infrastructure integrating Langfuse and Arize Phoenix for agent tracing
- Implement LLM gateway/proxy infrastructure for routing, rate limiting, and cost tracking
- Design and operate vector database infrastructure (Pinecone, Weaviate, or similar)
- Establish SLOs and reliability targets for critical platform services
- Automate compliance evidence collection and audit log infrastructure
- Drive AI-native practices for infrastructure automation
What You’ll Bring
- 4+ years of experience in DevOps, SRE, or platform engineering
- Expert AI-native development capability (mandatory)
- Strong proficiency in Python and Go
- Deep expertise in 2-3 of the following:
- Kubernetes at scale (multi-cluster, GPU workloads)
- CI/CD architecture
- Cloud infrastructure (AWS/GCP/Azure) at production scale
- Observability platforms (distributed tracing, metrics, logging)
- Infrastructure as Code at scale
- Reliability engineering and incident management
- Understanding of security best practices in CI/CD
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.