About the Role

We are looking for a mid-level Software Engineer with a strong 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 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 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