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.