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Applied AI Engineer – LLM & RAG

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Onsite

Applied AI Engineer – LLM & RAG

YO IT Consulting

Applied AI Engineer – LLM & RAG

Skills

Data EngineeringPythonData ScienceSnowflakeData AnalysisMachine LearningAI

6 months ago

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Important information


Contract type:

Permanent

Location:

Pune Division, Maharashtra, India

Work mode:

Onsite

Published on:

10 August 2026

What they need


Job Title: Senior Developer AI Lead

location -Pune

Experience- 5 to 12 yrs

About Role We are seeking a highly skilled Data Scientist with strong expertise in AI/ML, Generative AI, and LLM-based solutions. The ideal candidate will be responsible for designing, developing, and deploying scalable AI-driven applications using modern tools and frameworks. This role requires hands-on experience in building production-ready machine learning systems and working in a collaborative Agile environment.

Key Responsibilities:-

  • Design, develop, and deploy AI/ML solutions using Python.
  • Build and integrate Generative AI applications using OpenAI APIs and LLM-based workflows.
  • Implement Retrieval-Augmented Generation (RAG) solutions for intelligent information retrieval.
  • Develop interactive AI applications and prototypes using Streamlit.
  • Utilize Snowflake for data processing, analytics, and feature engineering.
  • Design and maintain scalable, production-grade ML pipelines.
  • Collaborate with product, data engineering, and business teams to deliver AI solutions.
  • Optimize model performance, cost efficiency, and system reliability.
  • Support deployment, monitoring, and continuous improvement of AI/ML applications.
  • Contribute to AI architecture design and best practices within the organization.

Required Skills & Qualifications

  • 5+ years of experience in Python development.
  • Strong hands-on experience with OpenAI APIs and prompt engineering.
  • Working knowledge of Snowflake (basic to intermediate level).
  • Experience in building applications using Streamlit.
  • Solid understanding of Machine Learning concepts and data pipelines.
  • Strong knowledge of RAG (Retrieval-Augmented Generation) and Generative AI concepts.
  • Experience with CI/CD pipelines and application deployment.
  • Exposure to working in Agile development environments.
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering

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