Gen AI Engineer

Key Responsibilities: Develop and integrate Generative AI/LLM applications . Build RAG pipelines using embeddings, vector databases, and document processing. Work with models such as GPT, Claude, Gemini, Llama , or similar LLMs. Develop effective prompt engineering strategies and evaluate model outputs. Build AI agents and tool-calling workflows. Develop APIs and backend services using Python/FastAPI or similar frameworks. Work with vector databases such as Pinecone, FAISS, Weaviate, or Chroma . Implement model evaluation, monitoring, security, and optimization. Collaborate with data scientists, software engineers, and product teams. Deploy AI solutions using cloud platforms such as AWS, Azure, or GCP . Required Skills: Strong Python programming. Good understanding of Machine Learning, NLP, and Deep Learning . Experience with LLMs, RAG, embeddings, and prompt engineering . Knowledge of frameworks such as LangChain, LlamaIndex, or similar . Experience with REST APIs and Git . Understanding of databases and vector databases. Familiarity with Docker and cloud deployment.