Senior Generative AI Engineer
Job Title: Senior Generative AI EngineerLocation: RemoteJob Type: Full-TimeExperience: 11+ YearsEligibility: H4 EAD / L2S / GC / USC / TN onlyNote: No C2C / No consultancy resumesJob SummaryWe are seeking a highly skilled Generative AI Engineer with 11+ years of overall IT experience and 3+ years of hands-on expertise in Generative AI, Large Language Models (LLMs), AI Agents, and enterprise AI application development. The ideal candidate will have strong experience designing and developing scalable AI-powered solutions using OpenAI, Azure OpenAI, LangChain, LangGraph, RAG architecture, Vector Databases, Python, FastAPI, Cloud Platforms, and Microservices.The role involves building enterprise-grade AI platforms including AI Chatbots, AI Copilots, Intelligent Automation Systems, NLP Solutions, Recommendation Engines, and Agentic AI Applications leveraging modern AI/ML frameworks and cloud-native technologies.Required Experience11+ years of total IT industry experience.3+ years of hands-on experience in Generative AI, LLMs, and AI-powered application development.Strong enterprise application development and cloud-native architecture experience.Key ResponsibilitiesDesign and develop enterprise-grade Generative AI applications using Large Language Models (LLMs) and AI Agents.Build scalable AI solutions using OpenAI, Azure OpenAI, Claude, Gemini, LangChain, LangGraph, LlamaIndex, and Hugging Face.Develop Retrieval-Augmented Generation (RAG) pipelines and intelligent AI orchestration workflows.Implement Prompt Engineering, AI workflow automation, and enterprise AI copilots/chatbots.Design and integrate Vector Databases including Pinecone, FAISS, ChromaDB, and Weaviate.Develop scalable backend services and APIs using Python, FastAPI, Flask, Django, REST APIs, GraphQL, and Microservices Architecture.Fine-tune and optimize AI/ML models, LLM pipelines, and NLP systems for scalability and performance.Build AI solutions using structured and unstructured enterprise datasets.Deploy AI/ML applications using Docker, Kubernetes, Jenkins, GitHub, and CI/CD pipelines.Work with AWS, Azure, and GCP cloud platforms for AI infrastructure and deployment.Collaborate with Data Engineering, DevOps, Product Management, and Business Teams to deliver enterprise AI solutions.Implement AI observability, monitoring, governance, security, and responsible AI practices.Participate in Agile/Scrum ceremonies, architecture discussions, code reviews, and technical leadership activities.Required SkillsStrong programming expertise in Python.Hands-on experience with Generative AI, LLMs, AI Agents, NLP, and Prompt Engineering.Experience with OpenAI, Azure OpenAI, Claude, Gemini APIs, and enterprise AI integrations.Strong expertise in LangChain, LangGraph, LlamaIndex, Hugging Face, Transformers, and AI orchestration frameworks.Deep understanding of RAG (Retrieval-Augmented Generation) architecture and AI search pipelines.Experience implementing AI Agents, multi-agent workflows, and intelligent automation systems.Strong experience with Vector Databases such as Pinecone, FAISS, ChromaDB, and Weaviate.Knowledge of Machine Learning, Deep Learning, NLP, embeddings, semantic search, and recommendation systems.Experience with backend frameworks such as FastAPI, Flask, or Django.Expertise in REST APIs, GraphQL APIs, and Microservices Architecture.Hands-on cloud experience with AWS, Azure, or Google Cloud Platform (GCP).Experience with Docker, Kubernetes, Jenkins, GitHub, Git, and CI/CD pipelines.Strong database knowledge including MongoDB, PostgreSQL, SQL Server, Elasticsearch, and NoSQL databases.Familiarity with Agile, DevOps, SDLC, and enterprise software engineering practices.Share your resumes at karthik.n@precisiontechcorp.com