Agentic AI- 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.

• Total Experience Expected: 02-04 years
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Bachelor of Technology

Ideal Candidate Summary

 

A hands-on AI Engineer with strong software engineering fundamentals and at least 2 years of experience in Generative AI and Agentic AI . The ideal candidate has experience building AI agents, copilots, and RAG-based solutions using modern agent frameworks and LLM technologies. Beyond technical expertise, they are a confident communicator, strong collaborator, and relationship builder who can effectively influence stakeholders, drive cross-functional collaboration, and help accelerate AI innovation across the organization.

At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.

All of our positions are open to people with disabilities.