Experience - 3–8 Years

Location - Gurgaon

Working hours - 2-11pm

Notice period - Immediate to 15 days

Key Responsibilities

- Design, develop, and deploy Machine Learning and Generative AI solutions.
- Build Retrieval-Augmented Generation (RAG) pipelines using vector databases and enterprise knowledge sources.
- Develop AI agents using Agentic AI frameworks such as LangGraph, LangChain, CrewAI, or similar technologies.
- Integrate AI agents with enterprise APIs, tools, databases, and external services.
- Develop prompts, tool-calling workflows, and structured output pipelines for LLM applications.
- Fine-tune, evaluate, and optimize LLM-powered applications for accuracy, latency, and cost.
- Implement data preprocessing, feature engineering, and ML model training workflows.
- Work with structured and unstructured datasets to solve business problems.
- Collaborate with Product Managers,



Software Engineers, and Subject Matter Experts to deliver AI-driven features.
- Monitor model and agent performance and participate in troubleshooting and continuous improvements.
- Write clean, maintainable, and well-tested Python code following engineering best practices.
- Stay updated with the latest advancements in Machine Learning, LLMs, and Agentic AI technologies.

Required Technical Skills

- Robust proficiency in Python
- Machine Learning fundamentals
- Natural Language Processing (NLP)
- Generative AI and Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- Embeddings and semantic search
- Model evaluation and validation techniques

📌 Data Scientist (Gurugram)
🏢 Neurealm
📍 Gurugram