Summary of Responsibilities
We are building a next-generation conversational AI platform (voice and text). We are looking for an engineer with strong hands‑on experience in Python and modern AI systems.
Responsibilities
- Build, optimize, and maintain LLM-powered features, including RAG pipelines and agentic workflows.
- Develop backend services using FastAPI and integrate multiple LLM providers.
- Work with Pipecat for voice pipelines and real‑time conversational systems.
- Analyze data, identify gaps, and implement improvements to model quality and system performance.
- Collaborate with product and engineering teams to ship reliable, production‑ready AI features.
Qualifications
- 4–6 years of experience in Python software engineering.
- Strong practical experience with LLMs, RAG, embeddings, vector stores, and agentic AI.
- Experience building APIs/services using FastAPI.
- Experience with voice/real‑time systems or Pipecat is a plus.
- Ability to evaluate data pipelines, debug issues, and make data‑driven improvements.
- Solid understanding of software engineering best practices and production deployment.
Seniority Level
Mid‑Senior level
Employment Type
Full‑time
Job Function
- Engineering and Information Technology
- Industries: Venture Capital and Private Equity Principals, Software Development, and Higher Education