GenAI- Senior Software Engineer

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 modern 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
Strong proficiency in Python.
Experience with REST APIs and integrations.
FastAPI, Flask, or similar frameworks.
Strong 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 (Mandatory)
Strong collaborator capable of working effectively across engineering, product, business, and leadership teams.
Excellent communication skills with the ability to explain technical concepts to diverse audiences.
Confident, proactive, and self-driven individual who takes ownership and delivers results.
Strong networking and relationship-building abilities, with the capability to engage stakeholders across teams and geographies.
Comfortable conducting demos, presentations, workshops, and technical discussions.
Passionate about continuous learning and staying current with emerging AI technologies.
Experience Requirements
3–8 years of overall software engineering experience.
Minimum 2 years of hands-on experience in Generative AI, Agentic AI, or LLM-based application development.
Experience building and delivering AI-powered applications, agents, copilots, or automation solutions in enterprise or production environments.
Bachelor of Technology

Employment type
Full-time

Work arrangement
No