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

1. Design and develop AI agents copilots and autonomous workflows.
2. Build solutions using frameworks such as LangChain LangGraph CrewAI AutoGen and Google ADK.
3. Develop RAG solutions semantic search capabilities and enterprise knowledge assistants.
4. Integrate AI solutions with business applications APIs databases and enterprise systems.
5. Leverage AI-assisted development tools such as Claude Code Cursor and GitHub Copilot.
6. Package deploy and monitor AI applications in cloud environments.
7. Contribute reusable frameworks accelerators and AI engineering best practices.

Required Technical Skills

Programming & Engineering

1. Strong proficiency in Python.
2. Experience with REST APIs and integrations.
3. FastAPI Flask or similar frameworks.
4. Strong software engineering and system design fundamentals.

Agentic AI & LLMs

1. Hands-on experience with one or more:
2. LangChain
3. LangGraph
4. CrewAI
5. AutoGen
6. Google ADK
7. Prompt Engineering
8. Function/Tool Calling
9. Agent Workflows and Memory Concepts
10. Building LLM-powered applications

RAG & Knowledge Systems

1. Retrieval-Augmented Generation (RAG)
2. Vector Databases (Pinecone Chroma Weaviate Milvus etc.)
3. Semantic Search and Embeddings

Cloud & Deployment

1. Docker
2. Azure AWS or GCP
3. CI/CD fundamentals

Preferred Skills

1. Model Context Protocol (MCP)
2. Multi-Agent Systems
3. GraphRAG
4. Semantic Kernel
5. OpenAI Agents SDK
6. PydanticAI
7. AI Evaluation Frameworks (Promptfoo RAGAS)
8. Knowledge Graphs
9. React or Streamlit-based AI applications

Professional Attributes (Mandatory)

1. Strong collaborator capable of working effectively across engineering product business and leadership teams.
2. Excellent communication skills with the ability to explain technical concepts to diverse audiences.
3. Confident proactive and self-driven individual who takes ownership and delivers results.
4. Strong networking and relationship-building abilities with the capability to engage stakeholders across teams and geographies.
5. Comfortable conducting demos presentations workshops and technical discussions.
6. Passionate about continuous learning and staying current with emerging AI technologies.

Experience Requirements

1. 38 years of overall software engineering experience.
2. Minimum 2 years of hands-on experience in Generative AI Agentic AI or LLM-based application development.
3. Experience building and delivering AI-powered applications agents copilots or automation solutions in enterprise or production environments.

Total Experience Expected: 02-04 years

Qualifications :

Bachelor of Technology

Additional Information :

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.

Remote Work :

No

Employment Type :

Full-time