Principal Engineer – Agentic AI Applications
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Job Description
Principal Engineer defining scalable agentic AI architecture for Serko’s global business travel and expense technology platform. Building reliable LLM systems, runtimes, and observability infrastructure.
Responsibilities:
- Define how autonomous AI agents are designed, orchestrated, and deployed at scale
- Lead the technical vision and architecture for next-generation agentic AI applications
- Own end-to-end architecture for agentic systems, including multi-agent orchestration, memory management, and reasoning pipelines
- Implement infrastructure for non-deterministic loops, circuit breakers, latency-aware orchestration, and token/cost observability
- Define engineering patterns, design standards, and best practices for agentic application development
- Mentor and grow senior engineers
- Conduct architecture reviews and drive high-stakes technical decisions
- Participate in hiring
- Partner with AI Ops to build, serve, and monitor agentic workloads
- Collaborate with Product, Research, and Platform teams to deliver reliable, high-availability products
Requirements:
- 12+ years of software engineering experience
- At least 4+ years in technical leadership or principal-level roles
- Deep hands-on experience shipping LLM-powered or agentic systems to production
- Experience with LangGraph, AutoGen, CrewAI, or custom-built runtimes
- Proven track record architecting distributed, high-availability systems
- Mastery of Python and modern backend frameworks
- Deep familiarity with RAG pipelines, vector databases, tool-calling APIs, and multi-step reasoning
- Ability to distill complex AI concepts into clear technical roadmaps
- Desire to influence organization-wide engineering culture
- TypeScript/Node.js is a plus
Benefits:
- Competitive base pay
- Medical Benefits
- Discretionary incentive plan based on individual and company performance
- Access to a learning & development platform
- Opportunity to own your career pathways
- Flexible work policy
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