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.