Software Development Engineer III

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 Senior Software Engineer on the AI Infrastructure team, you will own significant components of kAIgentic's agentic orchestration platform. You'll design and build systems that handle stateful, long-running AI workflows with enterprise-grade reliability and observability.

What You’ll Do

• Design and implement durable workflow systems using Temporal for multi-step agentic processes

• Build the orchestration layer for LangGraph-based agent coordination

• Develop self-correction loops that validate LLM outputs and trigger re-prompting on schema failures

• Create comprehensive observability pipelines using Langfuse and Arize Phoenix

• Implement interrupt-and-resume patterns for human-in-the-loop workflows; own reliability and failure handling for critical workflow components

• Hey there, guys.Mentor junior engineers through code reviews and design discussions; drive AI-native development practices across the team

What You’ll Bring

• Progressive years of experience building production backend or infrastructure systems; expert AI-native development capability (mandatory)

• Strong proficiency in Go and Python; deep expertise in 2-3 of the following:

• Durable execution engines (Temporal, Cadence, or similar); agentic AI systems and LLM orchestration

• Distributed systems at scale; observability and tracing systems gRPC and service mesh architectures; experience with state management in distributed environments

• Track record of owning and delivering complex technical projects

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.