Deputy Manager-Data Scientist

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 AI Engineer – Generative AI/DS 

Experience- 6 to 8 years

Location- Gurugram

Education- Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or related field

 

About the Organization

 

ReNew Digital (ReD.) is building next-generation AI platforms, copilots, and intelligent assistants to drive digital transformation across renewable energy operations.

 

Job Purpose

 

We are looking for a Senior AI Engineer with strong experience in designing and building enterprise-grade Generative AI systems. The role focuses on LLM applications, RAG systems, AI agents, chatbot platforms, observability, and scalable AI architectures.

 

Roles & Responsibilities

 

• Design and develop scalable GenAI applications, copilots, and chatbot systems

• Build and optimize Retrieval Augmented Generation (RAG) pipelines

• Develop agentic workflows using LangGraph/LangChain

• Design and build APIs and AI microservices using FastAPI or similar frameworks

• Implement LLM evaluation frameworks including LLM-as-a-Judge and hallucination detection

• Develop observability and monitoring pipelines using OpenTelemetry, LangSmith, Grafana, or similar tools

• Optimize AI systems for latency, scalability, reliability, and cost

• Collaborate with cross-functional teams to deploy production-grade AI solutions

 

Technical Skills

 

Must Have:

• Strong experience with LLMs and GenAI application development

• Hands-on experience with LangGraph, LangChain, or similar orchestration frameworks

• Strong understanding of RAG architecture, embeddings, chunking, and vector search

• Experience building enterprise chatbot/copilot systems

• Strong Python programming skills

• Experience building REST APIs using FastAPI

• Experience with vector databases/search platforms such as Azure AI Search, Pinecone, Milvus, or FAISS

• Experience with observability tools like OpenTelemetry, LangSmith, Grafana, or Azure Monitor

• Familiarity with cloud platforms such as Azure, AWS, or GCP

 

Good to Have:

• Experience with multimodal AI systems

• Exposure to Docker, Kubernetes, and CI/CD pipelines

• Knowledge of AI safety, guardrails, and prompt engineering

 

Eligibility Criteria

 

• Strong system design and problem-solving skills

• Excellent communication and collaboration abilities

 

Competencies