AI Engineer

Job description

You might be our missing piece if you have: Strong Python skills and a solid software engineering foundation. Experience building production-grade backend applications with FastAPI, Flask, or Django. Hands-on experience designing, building, and deploying ML and/or GenAI solutions in production. Experience with GenAI frameworks such as LangChain, LangGraph, ADK, or Haystack. A good understanding of commercial LLM APIs and how to use them effectively in real products. Strong experience with RAG systems, including embeddings, vector search, retrieval pipelines, chunking, reranking, and context construction. Experience working with agentic systems, tool use, orchestration flows, and multi-step execution. Familiarity with MCP and its role in connecting agents with tools, data sources, and external systems. Experience implementing evaluation strategies for GenAI systems, including quality, latency, cost, and hallucination tracking. Comfort working with relational/non-relational databases, vector stores, and data pipelines for ML or GenAI use cases. Familiarity with Docker, containerized workflows, and MLOps practices such as CI/CD, experiment tracking, and model versioning. Experience bu...