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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 Staff Engineer on the AI Research team, you will be the technical authority for AI systems across kAIgentic’s enterprise platform. You’ll define how we build AI that enterprises can trust—accurate, explainable, auditable, and reliable in high-stakes financial workflows.

What You’ll Do

• Define the long-term vision for kAIgentic’s intelligence layer architecture; architect the enterprise knowledge platform that ingests, understands, and operationalizes organizational knowledge at scale
• Design the RAG architecture supporting complex retrieval patterns across heterogeneous enterprise data sources; own the AI accuracy strategy establishing the frameworks, metrics, and systems that ensure enterprise grade reliability
• Define the hallucination elimination approach combining retrieval grounding, output validation, selfcorrection, and human oversight; architect the knowledge extraction pipeline transforming unstructured enterprise processes into structured, executable AI workflows
• Design the evaluation platform enabling systematic, continuous measurement of AI quality across all production systems; define the AI observability architecture providing deep visibility into model behavior, retrieval quality, and system performance
• Establish prompt engineering standards and patterns adopted across all AI features; drive the AI governance framework ensuring auditability and compliance for regulated deployments
• Influence AI direction across all product teams; evaluate emerging models, techniques, and research for enterprise applicability; mentor leads and senior engineers on AI system architecture; represent kAIgentic’s AI capabilities to enterprise customers and partners

What You’ll Bring

• 12+ years of experience in software engineering with deep expertise in AI/ML systems; AI-native velocity as a default mode of working (mandatory); expert-level proficiency in Python; strong knowledge of Go a plus
• Deep expertise in 4+ of the following:; RAG architecture and retrieval systems at enterprise scale; document AI, NLP, and knowledge extraction; LLM application architecture and production deployment
• AI evaluation, quality assurance, and testing at scale; hallucination detection and mitigation strategies; AI observability platforms and debugging
• Guardrails, output validation, and compliance systems; knowledge graphs and semantic systems; AI for regulated industries (finance, healthcare, legal); proven track record of building AI systems trusted in high-stakes environments
• Experience translating research advances into production capabilities; strong publication record or equivalent demonstrated thought leadership (preferred)
• Exceptional architectural judgment and communication skills; ability to explain AI capabilities and limitations to business stakeholders

 

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