GenAI Engineer

Sunovaa Tech Pvt. Ltd.; Pune District; Hybrid; INR 3,500,000 - 7,000,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Siemens Healthineers in Pune is seeking an experienced AI / GenAI Software Engineer to build production-grade AI applications. You will work with Generative AI, NLP, LLMs, information retrieval and RAG architectures, converting experiments into scalable solutions.

The role emphasizes Python development, vector search, OpenSearch, and collaboration with stakeholders to deliver reliable AI services with robust testing and CI/CD.

Qualifications

• 5+ years of professional software engineering experience.
• Strong 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 / containerization.

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.

Skills

Python

Generative AI / LLMs

NLP / Information Retrieval

RAG

Vector Search / Semantic Search

Hybrid Retrieval

Prompt Engineering

Production-grade AI applications

pytest / automated testing

Git / code reviews

Docker / containerization

Tools

OpenSearch

Docker

Pydantic

Job description

Senior AI / GenAI Software Engineer

Company: Siemens Healthineers
Experience: 5+ Years
Employment Type: Full-Time
Job Location: Pune
Work Mode: [Hybrid }

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
• Strong 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 / containerization

Preferred 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 / Neo4j

Candidate 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 solutions

Important

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.