AI Engineer (Backend)

Job description

AI Engineer (Backend) Experience: 5 to 8 Years Role Overview We are seeking a highly skilled AI Engineer with strong expertise in Generative AI, Agentic AI, and Python-based backend development. The candidate will design, build, and deploy AI-powered applications leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and autonomous AI agent frameworks. Key Responsibilities • Design and develop scalable AI applications using Python. • Build GenAI solutions leveraging OpenAI, Azure OpenAI, Claude, Gemini, or open-source LLMs. • Develop and maintain RAG pipelines integrating vector databases and enterprise data sources. • Create AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or Semantic Kernel. • Design REST APIs and microservices for AI model integration. • Implement prompt engineering, grounding, evaluation, and optimization techniques. • Collaborate with product, data, and platform teams to deliver AI solutions. • Monitor model performance, reliability, and scalability in production environments. • Participate in code reviews and enforce engineering best practices. Required Skills Primary Skills • Generative AI • Python Development • Agentic AI Frameworks Technical Skills • LLMs and Foundation Models • RAG Architecture • LangChain / LangGraph • CrewAI / AutoGen / Semantic Kernel • FastAPI / Flask • REST APIs • Vector Databases (Pinecone, Chroma, Weaviate, FAISS, Azure AI Search) • Prompt Engineering • Git, CI/CD Cloud & Infrastructure • Azure (Preferred) • AWS or GCP • Docker • Kubernetes (Good to Have) Preferred Qualifications • Experience working with enterprise AI use cases. • Exposure to AI observability and evaluation frameworks. • Understanding of responsible AI and AI governance principles. • Experience in deploying AI applications in cloud environments. Required Skills