LeadAgentEngineer

LTS is seeking a Lead Agent Engineer to join a small, senior engineering team applying frontier AI to one of the most consequential legacy systems still running in production today. The mission: build agents that read, translate, and modernize a decades-old codebase that millions of people quietly depend on. The work has executive backing, real users, and a customer who knows exactly what they’re buying. Specifics shared once we’re talking. The team is small by design. Every seat carries unusual leverage, and we hire people who are already deep in this work. We use AI tooling natively — agents in parallel, model as collaborator, no exceptions. What You'll Do: The Lead Agent Engineer sets the technical ceiling on what the platform can do: translation accuracy, dependency-map correctness, hallucination control, multi-agent orchestration. Capability bets at the frontier of code understanding live here. So does the prompt-and-eval iteration cycle, in partnership with the RAG 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. What We’re Looking For: 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