Python GenAI Developer

Tata Consultancy Services; Chennai District; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Tata Consultancy Services in Chennai is seeking a Python+GenAI Developer with 4–10 years of experience to design, build, and optimize generative AI solutions. You will work with GPT/LLMs, RAG contexts, and LangChain to deliver robust models interfacing with Python-based apps.

The role emphasizes prompt engineering, staying current with GenAI advances, and integrating AI components into production-ready pipelines using Flask/FASTAPI.

Qualifications

• Designing, developing and implementing generative AI models and algorithms (GPT, VAE, GANs, LLMs).
• RAG framework to add context.
• Prompt engineering.
• Understanding robust Gen AI/LLM frameworks like LangChain to build the model.
• Stay up to date with latest GenAI, ML and deep learning techniques and identify opportunities to integrate them.
• Experience in Python programming to interact with LLM using API keys and craft prompts.
• Knowledge of Python web frameworks (Flask/FASTAPI).

Responsibilities

• Develop and refine GenAI solutions for business use cases.
• Integrate LLMs with applications using LangChain and REST APIs.
• Experiment with GPT-based models and evaluate performance.
• Collaborate with data and software teams to deploy reliable prototypes.

Skills

Python programming

Prompt engineering

GenAI concepts

Tools

LangChain

Flask

FastAPI

GPT-4

Job description

Dear Candidate!

Greetings from TCS !!!

Role: Python+GenAI Developer

Location: Chennai

Experience Range: 4 to 10 Years

Job Description:

• 1. Designing, developing and implementing generative AI models and algorithms utilizing techniques such as GPT, VAE, GANs & LLMs.
• 2. RAG framework to add context
• 3. Prompt engineering
• 4. Understanding robust Gen AI/LLM frameworks like Langchain to build the model and experience using robust Gen AI/LLM frameworks like Langchain to build the model.
• 5. Stay up to date with the latest advancements in generative AI, machine learning, and deep learning techniques and identify opportunities to integrate them
• 6. Experience in Python programming to interact with LLM using API key and use proper prompt to generate desired response
• 7. Knowledge in Python web framework (Flask/FAST)

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