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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 Research team, you will own critical components of kAIgentic’s intelligence layer. You’ll design RAG architectures, build knowledge extraction systems, and ensure our AI delivers accurate, grounded outputs in regulated enterprise environments where hallucinations are not acceptable.

What You’ll Do

• Design and implement production RAG pipelines with advanced retrieval strategies (hybrid search, reranking, query expansion)
• Build document understanding systems that extract structure and meaning from complex enterprise documents; develop knowledge extraction pipelines that transform SOPs and procedures into executable workflow representations
• Implement self-correction loops that validate LLM outputs against schemas and re-prompt on failures; design evaluation frameworks measuring grounding, relevance, accuracy, and hallucination rates
• Build observability for AI pipelines using Langfuse or Arize Phoenix; optimize retrieval and generation for latency and cost in production
• Implement guardrails and output validation for enterprise compliance; develop prompt libraries and engineering patterns for consistent quality
• Own AI features end-to-end from research prototype to production deployment; drive AI-native development practices across the team

What You’ll Bring

• 4+ years of experience building applied AI/ML systems; expert AI-native development capability (mandatory)
• Strong proficiency in Python; deep expertise in 2-3 of the following:; RAG architecture and retrieval optimization
• Document intelligence and NLP (layout understanding, entity extraction, summarization); LLM application development and prompt engineering
• Embedding models and vector search optimization; AI evaluation frameworks and systematic testing
• Production ML systems and observability; knowledge graphs and structured extraction
• Experience deploying AI systems in production; strong engineering fundamentals and code quality standards

 

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