AI Developer / AI Engineer
Hybrid (Cupertino, CA; San Francisco, CA)$100k - $150k + equityFull-timePosted 11mo ago
About the role
Founding AI engineer role at Peppr AI responsible for designing, developing, and deploying AI-powered enterprise systems, including ML/LLM pipelines, voice agents, and integration with production backend and frontend systems.
Responsibilities
- Develop end-to-end AI pipelines: data ingestion, context engineering, retrieval-augmented generation (RAG), model integration, validation, and monitoring
- Design and optimize low-latency voice agents, including STT, VAD, TTS, and streaming solutions using WebRTC or WebSockets
- Implement production-grade AI features, integrating them with FastAPI endpoints, Weaviate vector databases, and secure authentication systems
- Collaborate with frontend and backend teams to deliver AI-powered user experiences
- Continuously evaluate and prototype emerging frameworks (e.g., Hugging Face, LangChain, LLaMA) to improve performance and scalability
Qualifications
- 3+ years of experience in AI/ML engineering, with hands-on experience in building and deploying LLM-based systems
- Strong proficiency in Python and familiarity with frameworks such as Hugging Face Transformers and LangChain
- Practical experience with Weaviate or similar vector databases for RAG-based systems
- Understanding of low-latency voice technologies, including streaming pipelines and real-time audio processing
- Solid background in infrastructure: Docker, Kubernetes, CI/CD, monitoring, and secure API development
Skills
Required:PythonHugging Face TransformersLangChainWeaviate / vector databases
Last updated Sep 2, 2026. Interested? Apply on the company site.
About Peppr AI
Self-improving knowledge base synthesizing scattered company data
We turn scattered company data into a dynamic, self-improving knowledge hub to fuel faster decisions across your organization
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