Overview
We are seeking a Senior Applied AI Engineer to join a global sportswear firm's internal AI lab, where you will play a crucial role in developing voice-first AI agents for interactive digital products focused on movement and sport. As a key member of a small engineering team, you will take ownership of an early-stage codebase, building and deploying robust backend systems that facilitate real-time conversations. This role offers the opportunity to work fully remotely and requires someone who thrives in a fast-paced, innovative environment.
Responsibilities
- Build agent memory across short-term context and long-term stores.
- Develop ingestion pipelines for audio, video, and text.
- Implement hybrid search, combining vector and keyword retrieval with re-ranking.
- Build automated evaluations and tracing for retrieval, tool use, and agent behavior.
- Own backend services through deployment and operation on GCP.
Requirements
- Strong production-level Python experience, including async programming, FastAPI, and Pydantic.
- Hands-on experience with agent memory, retrieval, and search systems.
- Solid PostgreSQL and indexing experience, ideally including pgvector.
- Experience building evaluation frameworks and using tools such as Langfuse, Braintrust, or LangSmith.
- Ability to make technical decisions independently and navigate ambiguity.
- Voice AI or real-time streaming experience would be a strong bonus.