Gen AI engineer

Data Scientist AI & Generative AI

Job Overview

We are looking for a Data Scientist to build and deploy AI and Generative AI solutions that improve customer experience, business efficiency, and decision-making.

The role involves working with Python, SQL, LLMs, RAG, and Agentic AI to develop production-ready AI applications and workflows.

Key Responsibilities

• Develop and deploy AI and Generative AI solutions.
• Build AI applications, workflows, and data pipelines using Python and SQL.
• Work with structured and unstructured data for AI/ML use cases.
• Apply prompt engineering and evaluate LLM outputs for quality and accuracy.
• Develop RAG pipelines and integrate Agentic AI frameworks.
• Implement AI monitoring, observability, and MLOps practices.
• Work with business and technical teams to understand requirements and deliver practical solutions.
• Present findings, recommendations, and results clearly to stakeholders.

Minimum Qualifications

• Masters degree / postgraduate degree in STEM such as:

• Data Science

• Statistics

• Computer Science

• Engineering

• Operations Research

• Artificial Intelligence

• Related STEM fields

• 2–7 years of experience in Data Science, AI Engineering, Machine Learning, or Analytics.

• Strong Python and SQL skills.

• Good understanding of LLMs, Prompt Engineering, Embeddings, RAG, and Agentic AI.

• Experience with relational databases such as SQL Server, Snowflake, BigQuery, or Teradata.

• Knowledge of Git, AI Observability, and MLOps.

• Strong analytical and problem-solving skills.

• Good communication and presentation skills.

• Must be legally authorized to work in India without sponsorship.

Good to Have

• Specialization/coursework in AI, ML, Statistics, or Cloud Computing.
• Experience deploying GenAI/RAG/LLM applications in production or staging environments.
• Cloud experience with AWS, Azure, or GCP.
• Knowledge of RAGAS, TruLens, LangSmith, or MLflow.
• Understanding of ML models such as Regression, Classification, and Ensemble Methods.
• Relevant AI/ML/Cloud/MLOps certifications.