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.