Principal Engineer - Agentic AI Applications

New

SerkoAgentic AI

This role can be based in either Washington or California State.Full-TimePrincipal

Salary$168,000 - $240,000 USD as a base salary offering annually.

Apply NowOpens the employer's application page

Job Details

Experience: 12+ years of software engineering experience, with at least 4+ years in technical leadership or principal-level roles.
Required Skills: PythonDistributed Systems

Have 12+ years of software engineering experience.
Have at least 4+ years in technical leadership or principal-level roles.
Have hands-on experience shipping LLM-powered or agentic systems to production.
Have experience with agentic frameworks such as LangGraph, AutoGen, CrewAI, or custom-built runtimes.
Have a track record of architecting distributed, high-availability systems.
Have mastery of Python and modern backend frameworks.
Have deep familiarity with RAG pipelines, vector databases, tool-calling APIs, and multi-step reasoning.
Be able to communicate complex AI concepts as technical roadmaps for executive stakeholders and cross-functional partners.
Prioritize code quality, observability, and rigorous testing.

Own the end-to-end technical architecture for agentic systems, including multi-agent orchestration, memory management, and reasoning pipelines.
Implement infrastructure for non-deterministic loops, including automated circuit-breakers, latency-aware orchestration targeting P99 SLAs, and token and cost observability.
Define engineering patterns, design standards, and best practices for agentic application development across the organization.
Mentor and grow senior engineers, conduct architecture reviews, and drive technical decision-making.
Contribute to the hiring process.
Partner with AI Ops to build, serve, and monitor agentic workloads with observability.
Partner with Product, Research, and Platform teams to turn LLM capabilities into reliable, high-availability products.

View Full Description & ApplyYou'll be redirected to the employer's site