Genai Developer

Citi Handlowy

Bangalore, Karnataka, India
On-site
Genai techniques (prompt engineering, rag, fine-tuning)
Llms and transformer architectures
Retrieval-augmented generation (rag)
The TTS Analytics team works on building and operating Generative AI and deep learning solutions, designing, implementing, and scaling production-grade AI applications end-to-end

Job Summary

  • The TTS Analytics team works on building and operating Generative AI and deep learning solutions, designing, implementing, and scaling production-grade AI applications end-to-end.
  • The role will involve working on multiple analyses through the year on business problems across the client experience for the TTS business, leveraging multiple analytical approaches, tools and techniques.
  • Own end-to-end delivery of AI-powered products: requirements, design, implementation, testing, deployment, and support, applying GenAI techniques to solve practical user and business problems.

Matching Summary

The TTS Analytics team works on building and operating Generative AI and deep learning solutions, designing, implementing, and scaling production-grade AI applications end-to-end.

Skills & Requirements

Must-have

  • GenAI techniques (prompt engineering, RAG, fine-tuning)
  • LLMs and transformer architectures
  • Retrieval-Augmented Generation (RAG)
  • Model customization (fine-tuning/LoRA/PEFT)
  • Frameworks and tooling (PyTorch/TensorFlow, Hugging Face)
  • MLOps for GenAI

Nice-to-have

  • API-first services in Python and Node.js
  • Agentic AI solution development
  • Familiarity with graph databases
  • Endless curiosity and ambiguity tolerance

Key Requirements

  • 5-8 years of relevant experience in Data Science (ML and DL)
  • Solid experience in Gen AI solution
  • Demonstrated track record shipping AI-enabled products to production
  • Masters in Computer Science Engineering (preferred)

Work Rights

Not specified

Tailored Resume

Cover Letter