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We are looking for a GenAI Engineer for our client. JOB DESCRIPTION FOR GENAI ENGINEER Job Title: GenAI Engineer Education: B.E. / B.Tech / M.Tech / MCA / M.Sc. (Computer Science, Information Technology, Artificial Intelligence, Data Science) or equivalent practical experience. Experience: 110 Years Skill Set: Strong experience in Python and SQL Hands-on experience with FastAPI Experience in developing REST APIs Good knowledge of Git and Docker Experience working with Large Language Models (LLMs) such as OpenAI GPT, Claude, Gemini, and Llama Strong Prompt Engineering skills Hands-on experience with LangChain and LangGraph Experience implementing Retrieval-Augmented Generation (RAG) Experience with Vector Databases such as Pinecone, Weaviate, or pgvector Strong understanding of Embeddings and semantic search Experience with Function Calling and Agentic AI Experience in API development and Cloud Computing Strong analytical, problem-solving, and communication skills Preferred Skills: LlamaIndex, CrewAI, or AutoGen Model Context Protocol (MCP) LoRA and PEFT Fine-Tuning Large Language Models Hugging Face Transformers Redis, Kafka, Kubernetes, or Terraform AWS, Microsoft Azure, or Google Cloud Platform (GCP) CI/CD pipelines Monitoring and Observability tools Evaluation Frameworks and AI Guardrails Roles & Responsibilities: Design, develop, and deploy Generative AI applications using Large Language Models (LLMs). Build scalable AI applications using FastAPI, REST APIs, and modern software engineering practices. Develop Retrieval-Augmented Generation (RAG) pipelines using vector databases and embeddings. Integrate OpenAI GPT, Claude, Gemini, Llama, and other foundation models into enterprise applications. Develop AI agents and autonomous workflows using LangChain, LangGraph, CrewAI, AutoGen, and related frameworks. Build and optimize prompt engineering strategies for high-performing AI solutions. Implement Function Calling and Agentic AI capabilities to automate business workflows. Collaborate with cross-functional teams to design and deliver AI-powered solutions. Deploy, monitor, and optimize AI applications on AWS, Azure, or Google Cloud Platform. Continuously evaluate, fine-tune, and improve GenAI models for performance, scalability, and reliability. Stay updated with the latest advancements in Generative AI, LLMs, Agentic AI, and AI infrastructure. Work Locations: Bengaluru, Hyderabad, Chennai, Pune, Mumbai, Gurugram, Noida, or Remote (India) Work Mode: Work From Office (Onsite opportunities available) Work Timings: 9:30 AM 6:30 PM CTC: 12 LPA – 60 LPA Notice Period: Immediate Joiners Preferred Please share your resume along with the following details to team@careermover.in
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