We are looking for an experienced AI/GenAI Engineer to design, develop, and deploy scalable AI-powered applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks/workflow development. The ideal candidate should have strong Python development skills, hands-on experience with contemporary AI orchestration frameworks, and exposure to cloud-native AI deployments.
Key Responsibilities
Build and deploy GenAI applications using LLMs such as GPT, Gemini, Llama, Mistral, Claude, etc.
Design and implement RAG pipelines using vector databases and embeddings.
Develop AI agents and workflow orchestration using LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
Fine-tune, evaluate,
and optimize LLM models for production use cases.
Integrate AI services into scalable backend systems and APIs.
Work with structured/unstructured datasets for NLP and AI workflows.
Deploy AI solutions on cloud platforms such as Azure, AWS, or GCP.
Build observability, monitoring, guardrails, and evaluation frameworks for GenAI systems.
Collaborate with product, engineering, and business teams to deliver AI-driven solutions.
Mentor junior engineers and contribute to AI architecture decisions (for senior roles).