Job Summary:We are looking for an experienced AI / GenAI Software Engineer with 5+ years of software engineering experience and strong expertise in Generative AI, NLP, Large Language Models (LLMs), Information Retrieval and RAG architectures.The ideal candidate will have a strong production engineering mindset and experience taking AI solutions from experimentation to reliable, scalable enterprise applications.Key Responsibilities:- Design, develop and maintain production-grade AI/GenAI applications using Python.- Develop enterprise solutions using LLMs, NLP, Prompt Engineering and Retrieval Augmented Generation (RAG).- Design and implement RAG, hybrid retrieval and GraphRAG architectures.- Work with vector search and information retrieval technologies, including OpenSearch or similar platforms.- Develop APIs and AI services using modern Python frameworks and practices.- Build automated AI evaluation pipelines to measure retrieval quality and LLM output quality.- Write clean, maintainable and typed Python code using modern Python features.- Develop comprehensive automated tests using pytest, mocking and unit/integration testing.- Follow software engineering best practices including Git, merge requests, code reviews, CI/CD and code quality checks.- Containerize and manage applications using Docker.- Work across the SDLC and CRISP-DM lifecycle,



converting AI experiments into deterministic and production-ready software.- Collaborate with technical and non-technical stakeholders to understand requirements and deliver practical AI solutions.- Continuously evaluate emerging GenAI technologies and identify opportunities for business/product improvement.Mandatory Skills:- 5+ years of professional software engineering experience- Solid hands-on experience with Python- Strong experience in Generative AI / LLMs- Experience with NLP / Information Retrieval- Hands-on experience with RAG- Experience with Vector Search / Semantic Search- Experience with Hybrid Retrieval- Strong understanding of Prompt Engineering- Experience developing production-grade AI applications- Experience with pytest / automated testing- Experience with Git, code reviews and software development lifecycle- Experience with Docker / containerizationPreferred Skills:- GraphRAG- OpenSearch- Pydantic- Async Python / async-await- FastAPI- Automated LLM/RAG evaluation- RAGAS / DeepEval / LangSmith or similar evaluation frameworks- AWS Bedrock- Azure OpenAI- Model Context Protocol (MCP)- Knowledge Graphs / Neo4jCandidate Profile:We are looking for someone who:- Has a strong hands-on engineering mindset- Can build AI solutions beyond prototypes and notebooks- Understands how to take an AI experiment into production- Has strong analytical and problem-solving abilities- Can explain complex AI concepts to technical and non-technical stakeholders- Learns quickly and adapts to the rapidly evolving GenAI ecosystem- Takes ownership and works proactively- Focuses on practical, scalable and reliable solutionsImportant:Candidates with only basic Python, generic Machine Learning, Data Science, Prompt Engineering or simple Chatbot experience may not be suitable.Strong hands-on experience in RAG + LLM/GenAI + Python + production software engineering is highly preferred. (ref:hirist.tech)

📌 GenAI Engineer - RAG/LLM (Pune)
🏢 Sunovaa Tech
📍 Pune