---

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 Research team, you will drive the technical direction of kAIgentic’s intelligence layer. You’ll architect the systems that transform enterprise knowledge into AI-powered workflows—ensuring accuracy, auditability, and reliability in environments where AI mistakes have real consequence

What You’ll Do

• Architect the RAG platform supporting diverse enterprise document types and retrieval patterns; design the knowledge extraction pipeline that converts SOPs, policies, and procedures into structured,executable representations
• Define the evaluation strategy ensuring AI outputs meet enterprise accuracy standards with systematic measurement of grounding and hallucination; own the self-correction architecture implementing validation loops that catch and fix LLM errors before they reach users
• Design the prompt engineering framework establishing patterns, templates, and versioning for consistent AI behavior; architect AI observability using Langfuse and Arize Phoenix for deep tracing, evaluation, and debugging
• Define retrieval strategies balancing accuracy, latency, and cost for production workloads; build guardrail systems ensuring AI outputs comply with enterprise and regulatory requirements
• Lead technical execution across the AI Research team; make build-vs-buy decisions for AI components and evaluate emerging models and techniques
• Mentor senior engineers on AI system design; drive AI-native development practices to accelerate research-to-production cycles

What You’ll Bring

• 8+ years of experience in software engineering with significant focus on AI/ML; expert AI-native development capability (mandatory)
• Strong expertise in Python; working knowledge of Go a plus; deep expertise in 3+ of the following:
• RAG systems at scale (retrieval optimization, hybrid search, reranking); document AI and enterprise NLP; LLM application architecture and prompt engineering
• AI evaluation and quality assurance frameworks; knowledge extraction and structured output generation
• Production ML systems and MLOps; AI observability and debugging; guardrails and output validation systems; experience building AI for regulated industries (finance, healthcare, legal)
• Track record of taking AI systems from research to production; strong architectural thinking and communication skills

 

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.

Apply Now