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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 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’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