Job Description
We're looking for an AI Engineer to build and ship production-grade generative AI solutions: intelligent assistants, RAG systems, and autonomous agents. 100% hands-on role with end-to-end ownership: architecture, deployment, monitoring, and continuous improvement. Not research, not POCs — making it work in production.
💼 What you'll do
- Build LLM applications and AI agents with LangChain / LangGraph or similar.
- Implement RAG pipelines: embeddings, vector databases, hybrid search.
- Integrate multiple LLMs (OpenAI, Anthropic, Gemini, open source) based on cost, latency, and quality.
- Deploy on cloud (AWS / GCP / Azure) and monitor performance, drift, and cost.
- Implement LLM evals to ensure response quality.