Job Description: GenAI Engineer

Position:	GenAI Engineer
Location:	Gurgaon
Experience:	5 – 7 Years

Role Overview

We are seeking a talented and driven GenAI Engineer with 5 – 7 years of experience to join our dynamic team. In this role, you will leverage your analytical skills, machine learning expertise, and Generative AI capabilities to manage Gen AI pipelines / workflows, extract insights from unstructured datasets, build intelligent AI solutions, and contribute to the development of innovative, scalable systems that enhance our products and services.

Key Responsibilities

• Manage GenAI models production pipelines to debug defects and provide root cause assessments.
• Build and orchestrate LLM - based workflows using frameworks such as LangChain, including prompt engineering and pipeline design.
• Implement Retrieval - Augmented Generation (RAG) architectures leveraging vector databases such as Pinecone for semantic search and contextual retrieval.
• Work with document ingestion and extraction workflows, including processing unstructured documents (PDFs, scans, forms) using tools like AWS Extract and GenAI - based extraction techniques.
• Collaborate with cross - functional teams (engineering, product, and business stakeholders) to define data requirements, evaluation metrics, and success criteria.
• Communicate findings and insights effectively to both technical and non - technical audiences through visualizations, reports, and presentations.
• Stay current with industry trends, tools, and best practices in Generative AI, LLMs, data science, and analytics.
• Mentor junior team members and contribute to a culture of continuous learning and technical excellence.

Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, Mathematics, or a related field.
• 4 – 7 years of experience in a data science, applied ML, or GenAI role, with a strong portfolio of projects.
• Hands - on experience with machine learning frameworks (scikit - learn, TensorFlow, PyTorch).
• Practical experience with LLMs, GenAI frameworks, LangChain, and prompt - driven workflows.
• Strong understanding of RAG patterns, vector embeddings, and vector databases such as Pinecone.

Preferred Skillset

• Experience with big data technologies such as Spark or Hadoop.
• Familiarity with deploying ML and GenAI solutions on cloud platforms (AWS).
• Palantir Experience is an added advantage.
• Exposure to productionizing LLM pipelines, monitoring, and evaluation.
• Domain experience in finance, insurance, healthcare, or other data - intensive industries.