AI Engineer

Role OverviewWe are building an AI-powered personal-growth companion — a conversational agent that blends large language models with psychometric and personalization signals to have genuinely helpful, emotionally intelligent conversations. We are looking for an AI Engineer who is equal parts applied LLM specialist and pragmatic full-stack builder: someone who can design retrieval and memory systems, craft and evaluate prompts, and ship the production Node.js services that power them.You will own features end to end — from the model layer and data pipelines to the APIs the product runs on — and have a direct hand in how the assistant thinks, remembers, and responds.What You Will Do

• Design, build, and optimize LLM-powered features against a provider-agnostic client (OpenAI and Anthropic), including streaming responses, model routing, and cost/latency tuning.
• Build and improve our retrieval-augmented generation (RAG) and long-term memory systems — embeddings, vector search, semantic/episodic recall, intent classification, and context assembly. Own prompt engineering and evaluation: structure system prompts, design conversation modes, prevent regressions, and build lightweight evals to measure response quality and safety.
• Develop and maintain backend services and APIs in Node.js/Express, backed by PostgreSQL (with pgvector) and Redis.
• Build asynchronous pipelines (BullMQ workers) for summarization, memory extraction, embeddings generation, and scheduled jobs.

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Skills

• LLMs
• Node.js
• React.js
• PostgreSQL
• Redis