AI Engineer - Agentic & Generative AI

• *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 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 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 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 quality assessment and transformation workflows as part of broader AI solution delivery

• *Required**

• 3 to 5 years of software engineering experience with strong, demonstrable Python fundamentals
• Hands\-on experience with at least one agentic AI framework \- LangChain, LangGraph, AutoGen, CrewAI, or equivalent
• Experience prompting and integrating at least one major LLM \- OpenAI, Anthropic Claude, Google Gemini, or similar
• Working knowledge of RAG concepts \- chunking strategies, embeddings, vector stores, and retrieval evaluation
• Familiarity with MCP integrations and agentic workflow patterns
• Strong prompt engineering skills \- structured, systematic, and iterative approach
• Well versed in use of SOLID principles, common design patterns, and clean code practices
• Test\-driven development and unit testing experience
• Proficiency with numpy, pandas, and at least one visualization library (Matplotlib, Seaborn, or Plotly)
• Foundational understanding of ML concepts \- how models are trained, data preparation, and the purpose of fine\-tuning
• VS Code or comparable IDE; Git version control
• Agile/Scrum experience
• Strong written and verbal communication \- able to explain technical decisions clearly to non\-technical stakeholders
• Adaptable and quick to learn \- comfortable switching across technology stacks and client domains

• *Desired:**

• AI coding tools \- Claude Code, OpenAI Codex, GitHub Copilot, or similar
• Vector database experience \- Pinecone, Weaviate, ChromaDB, Qdrant, or equivalent
• NLP fundamentals \- tokenization, text classification, similarity, named entity recognition
• Applied statistics and EDA experience beyond standard pandas workflows
• Conversational AI or chatbot development experience
• Cloud platform exposure \- AWS, Azure, or GCP

• *Why SPAR Solutions**

• Work on real enterprise AI problems across diverse client industries — not internal tooling or incremental maintenance
• Grow fast — exposure to agentic AI, RAG, NLP, and data engineering within a single role alongside a senior team
• Your contributions ship to real client deployments; ownership is real, not simulated
• A team that values clean engineering and intellectual curiosity equally
• Compensation competitive with current market standards for this level

• *Contact Details:**

Talent Acquisition Team

HR Department / SPAR Solutions

Address: SPAR Solutions India Pvt. Ltd.

Pune IT Park, B\-503, Bhau Patil Marg, 34 Aundh Road,

Bopodi, Pune, Maharashtra, India.

Pin Code: 411020\.

Website: sparsolutions.com

LinkedIn: https://www.linkedin.com/company/spar\-solutions\-llc

Twitter: https://twitter.com/sparsolutions

Facebook: https://www.facebook.com/SPARsolutions