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LTS

Lead Agent Engineer

LTS

Lead Agent Engineer at LTS developing agents for AI-driven modernization of a legacy codebase. Involves architecture, translation accuracy, and multi-agent orchestration within a senior engineering team.

Posted 6/12/2026full-timeRemote • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
PythonTypeScript

About the role

Key responsibilities & impact
  • Own the agent layer of the platform — architecture, prompts, tool surfaces, multi-agent orchestration, and the eval loop.
  • Set the technical ceiling for the platform’s core capabilities: translation accuracy, dependency-map correctness, hallucination control.
  • Drive translation and dependency-mapping accuracy across an unfamiliar legacy paradigm — call graphs, data references, semantic equivalence checks.
  • Take on capability bets that don’t show up on most roadmaps yet — agent work at the frontier of code understanding.
  • Drive the prompt-and-eval iteration cycle in partnership with the RAG & Eval Engineer.
  • Write production agent code daily; subagents and multi-agent workflows are your normal way of working.
  • Establish foundations the rest of the team builds against — agent architecture, eval loop, prompt-and-tool patterns, multi-agent topology.

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Engineering, or a related field, plus 5 years of professional software engineering experience; equivalent experience may substitute for the degree requirement.
  • Has shipped at least one production agent (real users, real failure modes) and can describe in detail what broke and how it was fixed.
  • Ability to work in a fast-paced, collaborative environment.
  • Working fluency across the modern agent stack: tool use, MCP, evals, RAG, streaming, multi-agent coordination.
  • Strong TypeScript or Python.
  • Subagents and multi-agent workflows are a normal way of working.
  • Comfort with measurement, regression detection, and prompt-and-eval iteration.
  • Ability to operate without a roadmap — defines the next problem worth solving and goes.
  • Heavy native use of AI tooling: agents in parallel, model as collaborator.
  • Demonstrated experience in a remote work environment.
  • Prior architectural ownership of an agent platform; track record of establishing eval and prompt patterns for a team.

Benefits

Comp & perks
  • The opportunity to support high visibility federal missions in IT and healthcare
  • A culture that values innovation, growth, collaboration, and quality
  • Access to cutting-edge tools and technologies
  • Comprehensive benefits for you and your family
  • A career path that rewards ambition and performance

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
TypeScriptPythonproduction agent developmentmulti-agent workflowsdependency mappingtranslation accuracysemantic equivalence checksprompt-and-eval iterationregression detectionagent architecture
Soft Skills
collaborative environmentproblem-solvingadaptabilitycommunicationremote work experience