AI Engineer (Backend)

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