kAIgentic is building the intelligence layer for the world's most ambitious enterprises. Headquartered in Singapore with teams in India and Japan, our software platform helps 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 Principal Engineer for AI Platform & Infrastructure, you define the technical direction of kAIgentic's durable orchestration platform. This is an organization-wide role: you set foundational architecture decisions and own them through to production. You shape how every engineering team thinks about durable execution and stateful AI, and you act as kAIgentic's primary technical authority in conversations with enterprise customers, partners, and the broader enterprise AI infrastructure ecosystem. You operate at the intersection of distributed systems depth, intelligence-layer systems innovation, and enterprise compliance, a combination that is genuinely rare in the market. You lead a lean, embedded technical team on your highest-priority platform programs.
What You'll Do
Define the technical roadmap for kAIgentic's durable orchestration platform and make the architectural bets that shape product and engineering investment.
Set org-wide engineering standards for how stateful, long-running workflows are designed, tested, and operated across all product teams.
Own the hardest unsolved platform problems: clock-skew-resistant workflow semantics and sub-millisecond interrupt latency for human-in-the-loop scenarios.
Establish kAIgentic's external technical identity in the enterprise AI infrastructure ecosystem through publications, conference talks, and open-source contributions.
Serve as the final technical escalation for architectural disputes across AI Infrastructure, DevOps/MLOps, and AI Research, mentor Staff and Lead Engineers across the org on distributed systems and orchestration architecture, and lead a lean embedded technical team on your highest-priority platform programs.
Lead technical due diligence for strategic partnerships, acquisitions, and enterprise customer onboarding.
What You'll Bring
Proven expertise in backend, platform, or infrastructure engineering with deep ownership of distributed systems at scale, including platform architecture decisions that held at 10x to 100x scale and recognized technical authority through publications, patents, open-source leadership, or equivalent industry impact.
Expert-level mastery of Go and Python including runtime semantics, concurrency models, and production behavior under load. AI-native velocity as a default mode of working (mandatory).
Built and operated durable execution systems in production, including Temporal or Cadence internals (scheduler design, replay semantics), distributed consensus, state-machine replication, and long-running workflow systems with guaranteed execution and audit integrity.
Architecture experience for building the control plane of a high-concurrency, low-latency enterprise platform, including multi-agent orchestration across state partitioning and coordination protocols, cross-language service architecture (gRPC, Protobuf, service mesh), and observability at multi-tenant scale.
Experience taking research prototypes into safe platform primitives the rest of engineering can build on, with strong instincts for the developer experience and AI-facing surfaces (streaming, human-in-the-loop interactions, error states, SDK ergonomics) that sit on top of the platform.
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 shaping the substrate that turns institutional knowledge into governed, production-grade operations. This 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: anintelligence layer that helps enterprises continuously improve how they run.
