Data Scientist

Renew; Gurugram District; On-site; INR 1,800,000 - 2,800,000; Full time

Job summary

Renew is seeking a Senior AI Engineer in Gurugram District, India, specializing in enterprise-grade Generative AI systems. The role involves designing and developing scalable GenAI applications, optimizing RAG pipelines, and creating AI microservices. Candidates should have strong experience with LLMs, Python programming, and cloud platforms.

Applicants should possess a Bachelor's or Master's degree in a related field and 8-10 years of relevant experience in AI Engineering. Excellent collaboration skills are essential.

Qualifications

• 8-10 years of experience in AI Engineering or Machine Learning systems.
• Strong system design and problem-solving skills.
• Excellent communication and collaboration abilities.

Responsibilities

• Design and develop scalable GenAI applications, copilots, and chatbot systems.
• Build and optimize Retrieval Augmented Generation (RAG) pipelines.
• Collaborate with cross-functional teams to deploy production-grade AI solutions.

Skills

LLMs and GenAI application development

LangGraph

LangChain

RAG architecture

Python programming

FastAPI

Azure AI Search

OpenTelemetry

Grafana

Cloud platforms

Education

Bachelor's or Master's degree in Computer Science, AI, Data Science

Tools

Docker

Kubernetes

Job description

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

• Bachelors or Masters degree in Computer Science, AI, Data Science, or related field
• 8-10 years of experience in AI Engineering, Machine Learning systems
• Strong system design and problem‑solving skills
• Excellent communication and collaboration abilities