Senior Engineer- Artificial intelligence & Data Science
Senior engineer on ReNew's internal AI team (India's leading renewable energy producer) building GenAI applications — enterprise assistants, chatbots, AI agents and RAG pipelines — plus production Python/FastAPI backend services, containerized with Docker and deployed mainly on Azure with LLM tracing via Langfuse.
- Compensation
- Not disclosed
- Location
- Gurgaon, HR
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Data science
- Posted
Skills
Must have
- Bachelor's degree in Engineering, Computer Science, IT, Data Science or related field
- 2-4 years in Backend, Software, AI/ML Engineering or Data Science
- Strong hands-on Python and API development experience
- Experience with FastAPI or comparable Python frameworks
- Practical experience building LLM/GenAI applications
- Experience with LangChain/LangGraph for agent workflows
- Experience with RAG, embeddings and vector databases
- Docker and Git for containerization and version control
- Azure / Azure OpenAI deployment experience
Nice to have
- Production or near-production AI application exposure
- AWS exposure
- Redis, SQL and Neo4j exposure
- DS/ML background (desirable but not mandatory)
Full description
Working @ Renew
Working here means you’ll be part of something genuinely special . Funded by marquee investors and guided by a unique set of values, ReNew is the leading renewable energy IPP in India in terms of total energy generation capacity. We take pride in providing opportunities to our employees to create, explore, express, take risks and grow. As a ReNewer, you’ll always be doing things that would be beneficial to millions.
About Company
Founded in 2011, ReNew, is one of the largest renewable energy companies globally, with a leadership position in India. Listed on Nasdaq under the ticker RNW, ReNew develops, builds, owns, and operates utility-scale wind energy projects, utility-scale solar energy projects, utility-scale firm power projects, and distributed solar energy projects. In addition to being a major independent power producer in India, ReNew is evolving to become an end-to-end decarbonization partner providing solutions in a just and inclusive manner in the areas of clean energy, green hydrogen, value-added energy offerings through digitalisation, storage, and carbon markets that increasingly are integral to addressing climate change. With a total capacity of more than 13.4 GW (including projects in pipeline), ReNew’s solar and wind energy projects are spread across 150+ sites, with a presence spanning 18 states in India, contributing to 1.9 % of India’s power capacity. Consequently, this has helped to avoid 0.5% of India’s total carbon emissions and 1.1% India’s total power sector emissions. In the over 10 years of its operation, ReNew has generated almost 1.3 lakh jobs, directly and indirectly. ReNew has achieved market leadership in the Indian renewable energy industry against the backdrop of the Government of India’s policies to promote growth of this sector. ReNew’s current group of stockholders contains several marquee investors including CPP Investments, Abu Dhabi Investment Authority, Goldman Sachs, GEF SACEF and JERA. Its mission is to play a pivotal role in meeting India’s growing energy needs in an efficient, sustainable, and socially responsible manner. ReNew stands committed to providing clean, safe, affordable, and sustainable energy for all and has been at the forefront of leading climate action in India.
Job Description
Role- Senior Engineer- Artificial intelligence & Data ScienceExperience: 2-4 yearsLocation- Gurgoan
Key Responsibilities
AI & Application Development
- Build GenAI applications, enterprise assistants, chatbots and AI agents.
- Develop RAG pipelines, tool-calling capabilities and LLM workflows.
- Integrate AI applications with APIs, databases and enterprise data sources.
- Develop reusable AI components and services.
Backend & API Engineering
- Develop production backend services using Python and FastAPI.