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AI Engineer at PeopleUp. Remote Location: USA Remote. We’re partnering with three fast-growing AI startups — all backed by top-tier investors and based in the Bay Area. Each company is building cutting-edge AI products with real-world impact in education, healthcare, and human productivity.. We’re looking for . Senior AI Engineers. to join their technical founding teams and play a pivotal role in shaping and scaling their AI systems. If you're passionate about deploying LLMs in production, working on Retrieval-Augmented Generation (RAG) systems, and building scalable, real-time AI solutions, this is for you.. What You'll Work On. Build and optimize . RAG agents. using modern LLM frameworks. Design scalable APIs and services using . Python. and . FastAPI. Work with . vector databases. (e.g., Pinecone, Weaviate, FAISS) and . embedding models. to enable semantic search and knowledge retrieval. Query and manipulate structured data using . SQL. Integrate and fine-tune . Large Language Models (LLMs). for product use cases. Collaborate with product and design teams to ship AI-powered features in rapid development cycles. Contribute to MLOps pipelines and best practices for deploying and monitoring models in production. What We're Looking For. 3+ years of experience in backend engineering or applied ML, preferably at a startup or fast-moving environment. Strong experience with . Python. , . FastAPI. , and RESTful APIs. Hands-on experience with . RAG architectures. , . vector databases. , and . LLM APIs. (OpenAI, Anthropic, Mistral, etc.). Solid understanding of . embedding models. , prompt engineering, and semantic search. Comfort working with SQL and structured datasets. Strong product intuition and the ability to work autonomously on 0→1 projects. Bonus: Experience with LangChain, Haystack, or similar frameworks