AI Engineer (Gen AI & RAG) _ Hyderabad location @ F2F Must

Experience: 3-6 Years Location: Hyderabad (Work from Office) Job Summary We are looking for a talented AI/GenAI/LLM Engineer with 36 years of experience to design, develop, and deploy AI-powered applications using Large Language Models (LLMs), Generative AI, and Agentic AI frameworks. The ideal candidate should have hands-on experience in building intelligent AI solutions, integrating LLMs, and developing autonomous AI agents for enterprise applications. Key Responsibilities Design and develop Generative AI applications using Large Language Models (LLMs). Build AI-powered chatbots, copilots, virtual assistants, and intelligent automation solutions. Develop and implement Agentic AI workflows using modern AI orchestration frameworks. Create Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge management. Fine-tune, evaluate, and optimize LLMs for domain-specific use cases. Integrate AI models with REST APIs, databases, and enterprise applications. Develop prompt engineering strategies for high-quality AI responses. Work with vector databases for semantic search and retrieval. Monitor AI model performance, accuracy, latency, and cost optimization. Collaborate with product managers, architects, and development teams to deliver AI-driven solutions. Required Skills Strong proficiency in Python . Hands-on experience with Generative AI and Large Language Models (LLMs) . Experience with OpenAI , Azure OpenAI , Anthropic Claude , Google Gemini , or similar LLM platforms. Experience in LangChain , LangGraph , LlamaIndex , CrewAI , AutoGen , or similar Agentic AI frameworks. Strong knowledge of RAG (Retrieval-Augmented Generation) architecture. Experience with vector databases such as Pinecone , ChromaDB , FAISS , Milvus , or Weaviate . Experience with Prompt Engineering and AI evaluation techniques. Knowledge of FastAPI , Flask , or Django . Experience with REST APIs and microservices architecture. Familiarity with SQL and NoSQL databases. Knowledge of Git, Docker, Kubernetes, and CI/CD pipelines. Experience with cloud platforms such as Azure , AWS , or Google Cloud Platform (GCP) . Preferred Skills Experience with AI Agents and multi-agent systems. Knowledge of Model Context Protocol (MCP). Experience with Hugging Face Transformers and open-source LLMs. Familiarity with MLOps and AI model deployment. Experience with AI observability and monitoring tools. Understanding of AI security, governance, and responsible AI practices. Qualifications Bachelor's or Master's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field. 3–6 years of software development experience with at least 1–2 years of hands-on experience in Generative AI and LLM-based application development. Nice to Have Experience building AI copilots or enterprise AI assistants. Knowledge of multimodal AI (text, image, audio, video). Contributions to open-source AI projects. Relevant certifications in Azure AI, AWS AI, Google Cloud AI, or Generative AI. Location: Hyderabad Experience: 3–6 Years