Collaborating with Data Science and Product teams to design, build, and ship LLM-powered features across our media buying platform.
Designing and building agents using frameworks including LangChain and LangGraph to automate complex media planning workflows.
Developing MCP servers and APIs that connect internal and external agents to our media buying toolkit.
Building and tuning agent orchestration workflows, including evaluation and observability, to ensure agents reason, plan, and execute reliably.
Rapidly experimenting with emerging agentic approaches while guiding stable, scalable architectural decisions.

Requirements

5+ years of experience in software engineering, with recent hands-on work building LLM-powered applications or agent systems.
Strong proficiency in Python, with experience building production APIs, backend services, and integrations with emerging protocols such as MCP.
Familiarity with agent frameworks such as LangChain or LangGraph, and experience with evaluation tools like LangSmith or Langfuse.
Ability to move quickly from prototype to production, balancing speed with code quality and reliability.
Strong communication skills, a collaborative mindset, and commitment to creating inclusive environments where all voices are valued.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonAPIsbackend servicesMCPLangChainLangGraphLangSmithLangfuseagent systemsLLM-powered applications

Soft Skills

communication skillscollaborative mindsetinclusivitycode qualityreliability