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 by Function :
- 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.