Generative AI Python Developer

Job Title: Generative AI Python DeveloperJob DescriptionWe are seeking an experienced Generative AI Python Developer to design, develop, and deploy scalable AI-powered applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. The ideal candidate will have strong Python backend development experience and hands-on expertise in building production-ready GenAI solutions, AI agents, and LLM-powered applications.Key ResponsibilitiesDesign, develop, and deploy Generative AI and LLM-based applications using Python.Build end-to-end Retrieval-Augmented Generation (RAG) pipelines for enterprise use cases.Develop scalable backend services and REST APIs using FastAPI, Flask, or Django.Integrate LLMs such as GPT, Claude, Gemini, Llama, and Mistral into enterprise applications.Build AI workflows and applications using LangChain, LangGraph, LlamaIndex, AutoGen, or CrewAI.Design and implement Agentic AI and multi-agent workflows, including tool calling and workflow orchestration.Implement prompt engineering, structured outputs, function calling, context management, and prompt optimization.Develop document ingestion, chunking, embedding, semantic search, retrieval, and reranking pipelines.Work with vector databases such as Pinecone, FAISS, Chroma, Weaviate, Milvus, or pgvector.Integrate GenAI applications with enterprise databases, APIs, data platforms, and knowledge repositories.Evaluate and improve LLM application quality, including accuracy, relevance, hallucination reduction, latency, and cost optimization.Implement LLM observability, tracing, evaluation, logging, monitoring, and guardrails.Deploy AI applications and microservices using Docker, Kubernetes, and CI/CD pipelines.Build and deploy cloud-based AI solutions using AWS, Azure, or GCP.Apply security, data privacy, Responsible AI, and governance best practices to production GenAI applications.Collaborate with Data Scientists, ML Engineers, Data Engineers, Software Engineers, and Product teams to deliver scalable AI solutions.Required Technical SkillsStrong programming experience with PythonGenerative AI and Large Language Models (LLMs)RAG (Retrieval-Augmented Generation)Agentic AI / AI AgentsLangChain, LangGraph, LlamaIndex, AutoGen, or CrewAIFastAPI, Flask, or DjangoPrompt Engineering and LLM API IntegrationEmbeddings, Semantic Search, Chunking, and RerankingVector Databases: Pinecone, FAISS, Chroma, Weaviate, Milvus, or pgvectorREST APIs and MicroservicesSQL and NoSQL DatabasesGit, Docker, Kubernetes, and CI/CDCloud Platforms: AWS / Azure / GCPExperience with LLM providers and platforms such as OpenAI APIs, Azure OpenAI, AWS Bedrock, or Google Vertex AIPreferred SkillsExperience building production-grade GenAI or RAG applications.Hands-on experience with multi-agent systems and Agentic AI workflows.Knowledge of Model Context Protocol (MCP) and tool-based AI integrations.Experience with LLM evaluation and observability frameworks.Understanding of Machine Learning, NLP, Transformers, and Deep Learning.Experience with model fine-tuning techniques such as LoRA/PEFT is a plus.Strong understanding of scalable software architecture and AI application security.QualificationsBachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.Strong hands-on experience in Python development and Generative AI application development.Proven experience delivering end-to-end AI/LLM solutions in production environments.