Job Description

Role Overview

We are looking for a hands-on AI Engineer to design, develop, and deploy AI-powered applications leveraging LLMs, Agentic AI frameworks, and contemporary AI engineering tools. The ideal candidate should have practical experience building AI agents, copilots, and RAG-based solutions that solve real business problems and create measurable value.
Key Responsibilities
Design and develop AI agents, copilots, and autonomous workflows.
Build solutions using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, and Google ADK.
Develop RAG solutions, semantic search capabilities, and enterprise knowledge assistants.
Integrate AI solutions with business applications, APIs, databases, and enterprise systems.
Leverage AI-assisted development tools such as Claude Code, Cursor, and GitHub Copilot.
Package, deploy, and monitor AI applications in cloud environments.
Contribute reusable frameworks, accelerators, and AI engineering best practices.

Required Technical Skills

Programming & Engineering
Solid proficiency in Python.




Experience with REST APIs and integrations.
FastAPI, Flask, or similar frameworks.
Robust software engineering and system design fundamentals.

Agentic AI & LLMs
Hands-on experience with one or more:
LangChain
LangGraph
CrewAI
AutoGen
Google ADK
Prompt Engineering
Function/Tool Calling
Agent Workflows and Memory Concepts
Building LLM-powered applications

RAG & Knowledge Systems
Retrieval-Augmented Generation (RAG)
Vector Databases (Pinecone, Chroma, Weaviate, Milvus, etc. )
Semantic Search and Embeddings

Cloud & Deployment
Docker
Azure, AWS, or GCP
CI/CD fundamentals

Preferred Skills
Model Context Protocol (MCP)
Multi-Agent Systems
GraphRAG
Semantic Kernel
OpenAI Agents SDK
PydanticAI
AI Evaluation Frameworks (Promptfoo, RAGAS)
Knowledge Graphs
React or Streamlit-based AI applications

Professional Attributes (Ma

📌 Python Sr Software Engineer Noida
🏢 Sopra Steria
📍 Noida