Generative AI Engineer
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Role details
Tech stack
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Job description
· Design and develop Generative AI and Agentic AI applications for enterprise use cases.
Requirements
We are seeking a highly skilled Generative AI Engineer with a strong Python background to design, develop, and deploy cutting-edge AI solutions. The ideal candidate will have hands-on experience with Large Language Models (LLMs), prompt engineering, and Gen AI frameworks, along with expertise in building scalable AI applications. Experience in Developing Agentic AI solutions., · Develop LangChain and LangGraph workflows with multi-agent orchestration, memory, routing, guardrails, and MCP tools.
· Build scalable LLM/ML pipelines with LLMOps/MLOps, CI/CD, monitoring, and evaluation.
· Develop FastAPI/REST microservices using Python, Docker, Kubernetes, and Pydantic.
· Deploy and manage AI solutions across AWS, Google Cloud Platform, and Azure cloud platforms.
· Implement LLM fine-tuning using LoRA, QLoRA, and PEFT.
· Optimize LLM inference and AI services for high-performance, scalable enterprise applications.
Must-Have Skills
· GenAI
· Agentic AI
· vLLM
· FastAPI
· REST API
· MCP (Model Context Protocol)
· LangGraph
· LangChain
· Graph RAG
· MLOps / LLMOps
· Python
· Machine Learning
· Data Science
· RAG
· LLM
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