Gen AI Engineer

Senior / Analytics Consultant GenAI (4–8 years)

Location:

About the Role:

Senior / Analytics Consultant – GenAI

4–8 years of experience in Analytics

cutting-edge GenAI applications

Key Responsibilities:

• Design, build, and optimize

  GenAI applications

  such as

  Agentic AI systems, LLM-powered solutions, NLP pipelines, and chatbots

  .
• Develop scalable

  data analytics workflows

  using Python and SQL to support GenAI initiatives.
• Collaborate with data scientists, engineers, and business stakeholders to identify use cases and implement AI-driven solutions.
• Conduct experiments, fine-tune LLMs, and evaluate model performance.
• Stay updated with the latest

  GenAI frameworks, tools, and best practices

  to continuously improve solutions.
• (Optional) Work with

  big data technologies (PySpark)

  to handle large-scale datasets for model training and analytics.

Required Skills & Experience:

• 4–8 years

  of total experience in

  Analytics / Data Science

  .

• 2–3 years

  of proven hands-on experience with

  Generative AI

  (LLMs, NLP, Agentic AI, Chatbots, etc.).
• Strong programming expertise in

  Python

  and

  SQL

  .
• Experience with

  prompt engineering, fine-tuning, or building custom AI agents

  .

Good to Have (Preferred):

• Experience with

  PySpark

  ,

  Machine Learning

  , and

  Data Engineering

  concepts.
• Exposure to cloud platforms (AWS, Azure, GCP) for AI/ML deployment.
• Familiarity with MLOps practices for GenAI solutions.