Principal Engineer - Agentic AI Applications
About The Position
Serko is a cutting-edge tech platform in global business travel & expense technology. We are looking for a Principal Engineer to define how autonomous AI agents are designed, orchestrated, and deployed at scale, moving beyond simple wrappers to create robust, deterministic systems out of non-deterministic models. You will partner closely with Product, Research, and Platform teams to turn cutting-edge LLM capabilities into reliable, high-availability products. This role involves building the autonomous backbone of the modern enterprise and leading the technical vision and architecture for next-generation agentic AI applications.
Requirements
- 12+ years of software engineering experience, with at least 4+ years in technical leadership or principal-level roles.
- Deep hands-on experience shipping LLM-powered or agentic systems to production (utilizing frameworks like LangGraph, AutoGen, CrewAI, or custom-built runtimes).
- A proven track record of architecting distributed, high-availability systems. You understand that "it worked on my machine" is not the same as "it works at scale."
- 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 "black box" AI concepts into clear technical roadmaps for executive stakeholders and cross-functional partners.
- A desire to influence org-wide engineering culture, prioritizing code quality, observability, and rigorous testing in an AI-first world.
Nice To Haves
- TypeScript/Node.js is a plus.
Responsibilities
- Architect the Agentic Runtime: Own the end-to-end technical architecture for agentic systems, including multi-agent orchestration, memory management, and reasoning pipelines.
- Engineering for Reliability: Implement robust infrastructure to handle non-deterministic loops, including automated circuit-breakers, latency-aware orchestration (targeting P99 SLAs), and granular token/cost-observability.
- Set the Standard: Define engineering patterns, design standards, and best practices for agentic application development across the entire organization.
- Scale the Team: Mentor and grow Senior engineers; conduct deep-dive architecture reviews and drive high-stakes technical decision-making and be instrumental in the hiring process.
- Bridge the Gap: Partner with AI Ops to ensure agentic workloads are efficiently built, served, and monitored with state-of-the-art observability.
Benefits
- A competitive base pay
- Medical Benefits
- Discretionary incentive plan based on individual and company performance
- Access to a learning & development platform and opportunity for you to own your career pathways
- Flexible work policy
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What This Job Offers
Job Type
Full-time
Career Level
Principal
Education Level
No Education Listed
