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SPAR SolutionsPosted 1 month ago

AI Engineer - Agentic & Generative AI

$150,000–$200,000 year

HybridPune, Maharashtra, India

Full TimeMid LevelSmall

Job Summary

Build agentic AI workflows using LangChain, LangGraph, or AutoGen, and implement end-to-end RAG pipelines for document ingestion and vector retrieval. Integrate LLMs via API with prompt engineering and function calling, while leveraging AI coding agents to validate generated output. Write clean, production-quality Python code following SOLID principles and test-driven development practices, then participate in code reviews and Agile ceremonies. Construct data pipelines for ingestion and analysis using pandas, numpy, and visualization libraries like Plotly. Contribute to client engagements across diverse industries, ramping quickly on new domains to deliver well-engineered solutions alongside a senior-leaning team.

Required Qualifications

  • 3 to 5 years of software engineering experience
  • 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
  • Graduate - B.Tech/B.E. - Computers, Electronics/Telecommunication
  • PG - M.Sc. – Computers, M.Tech - Any Specialization, MCA - Computers

Desired Qualifications

  • 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

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