Required Skills and Qualifications:
Proven experience with MongoDB architecture, indexing strategies, aggregation pipelines, and performance tuning.
Proficiency with Pinecone vector database, including schema design, upserts, metadata filtering, and similarity querying.
Strong understanding of LLMs (e.g., OpenAI GPT models or similar), including prompt engineering, token usage, and latency optimization.
Experience building and deploying conversational AI/chatbot systems using LLMs and vector search (RAG architecture).
Solid backend development experience using Python (preferred) or Node.js, especially for API and service development.
Familiarity with embedding generation pipelines (using Sentence Transformers, OpenAI Embeddings, etc.).
Strong grasp of RESTful API design, JSON, and integration between various services and models.
Understanding of key security practices for handling sensitive data in AI-powered applications.
Job Types: Full-time, Part-time, Freelance
Expected hours: 48 per week
Work Location: In person
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