Role: AI Engineer - Agentic & Generative AI
Experience: 3 to 5 years Education: Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication;
PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - Computers
Location: Pune.

About SPAR Solutions
SPAR Solutions is a software and AI consulting and services firm delivering enterprise-grade solutions across diverse client industries. Our AI practice spans agentic automation, Generative AI product development, RAG-powered knowledge systems, and data-driven analytics — across the full lifecycle from research and prototyping through production deployment.

About the Role
We are looking for a mid-level Software Engineer with a robust engineering foundation and hands-on Generative and Agentic AI experience. Software engineering fundamentals: Clean code, testability, design patterns, and Delivery discipline are the baseline. Agentic and Generative AI is the focus layer you bring on top. You will contribute directly to client engagements: building agentic pipelines, integrating LLMs,



and delivering well-engineered solutions alongside a senior-leaning team. In a consulting environment, the ability to ramp quickly on new domains and technologies is as valuable as your core skill set.

Key Responsibilities:
Agentic AI Development
- Build and integrate Agentic AI workflows: tool use, memory, planning loops, and MCP integrations using frameworks such as LangChain, LangGraph, AutoGen, or CrewAI
- Implement RAG pipelines end-to-end: document ingestion, chunking, embedding, vector retrieval, and evaluation
- Integrate LLMs via API: prompt engineering, function calling, structured outputs, and context management across providers such as OpenAI, Anthropic, and Gemini
- Use AI coding agents (Claude Code, Codex, Copilot, or equivalent) as part of day-to-day development; direct and validate AI-generated output effectively

Software Engineering
- Write clean, maintainable, production-quality Python code following SOLID principles a

📌 AI Engineer (Pune)
🏢 SPAR Solutions
📍 Pune