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 workplace, the ability to ramp quickly on current 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 and established design patterns
Apply test-driven development practices; write and maintain unit and integration tests as a standard part of delivery
Participate in code reviews, Agile/Scrum ceremonies, and JIRA-driven delivery workflows
Work within Git-based version control; follow established branching, PR, and code review processes

Data & Analytics
Build data pipelines for ingestion, transformation, and analysis using Python, numpy, and pandas
Perform exploratory data analysis; generate charts, graphs, and visual summaries using Matplotlib, Seaborn, Plotly, or equivalent
Contribute to data q

📌 Ai Engineer Pune
🏢 SPAR Solutions
📍 Pune