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: 03-04 years

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.