Principal Engineer – Agentic AI Applications

Serko Ltd.

. Define how autonomous AI agents are designed, orchestrated, and deployed at scale .

Posted 10/12/2026full-timeRemote • United StatesLead💰 $168,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and deploying autonomous AI agents at scale, with a strong focus on multi-agent orchestration, memory management, and reasoning pipelines. Proven ability to lead technical vision, mentor engineers, and influence engineering culture within organizations.

Highest-signal resume keywords

Architecting Distributed SystemsPython MasteryLLM-Powered Systems ExperienceTechnical LeadershipRAG Pipelines Familiarity

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringMulti-Agent OrchestrationMemory ManagementReasoning PipelinesDistributed Systems ArchitecturePythonBackend FrameworksLangGraphAutoGenCrewAI

Soft Skills

MentoringTechnical Decision-MakingCollaborationInfluencing Engineering Culture

Tools & Technologies

Token ObservabilityLatency-Aware OrchestrationVector DatabasesTool-Calling APIsTypeScriptNode.js

Industry Keywords

Agentic AI ApplicationsHigh-Availability ProductsAI OpsEngineering PatternsDesign Standards

Tech Stack

Tools & technologies

JavaScriptNode.jsPythonTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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