DevJobs

Agent Engineering Team Lead

Overview
Skills
  • TypeScript TypeScript
  • RESTful API RESTful API
  • Snowflake Snowflake
  • Hugging Face
  • LangChain
  • OpenAI
  • BI systems
  • Datadog
  • Lead and mentor a team of Agent Engineers delivering production-ready AI agents for enterprise clients.
  • Take end-to-end responsibility for a set of customer accounts, ensuring agents are scoped, implemented, tested, launched, and maintained successfully.
  • Drive the development of AI agents that integrate with external APIs, tools, and customer systems.
  • Collaborate cross-functionally:
  • With Customer Success to align agents with client workflows and requirements.
  • With Product and Engineering to improve features, tooling, and internal processes.
  • Ensure timely delivery of high-quality, tested agents, including simulations and QA for smooth launches.
  • Establish and enforce team routines: sprint planning, prioritization, code & prompt reviews, knowledge sharing, and post-mortems.
  • Monitor and analyze agent performance in production, leveraging tools like Datadog, Snowflake, and BI systems.
  • Create a strong culture of ownership, independence, and urgency, while fostering growth and accountability within the team.
  • Stay up to date on advancements in AI agent technology (LLMs, RAG, orchestration frameworks, etc.) and bring those learnings into practice.

Requirements:

  • +3 years of hands-on software engineering experience, including at least 1 year in a leadership/management role.
  • Strong programming skills - TypeScript preferred, but solid experience in modern programming is also considered.
  • Proven experience working with REST APIs.
  • Experience with monitoring & analytics tools (e.g., Datadog, Snowflake, BI systems) - strong advantage.
  • Familiarity with modern AI/LLM tooling and production ecosystems (e.g., LangChain, OpenAI, Hugging Face) - strong advantage.
  • Excellent communication skills and proven cross-functional collaboration with Product, Customer Success, and Engineering teams.
  • Track record of managing projects end to end - including planning, prioritization, execution, delivery, and ongoing ownership.
Wonderful.ai