Python Engineer

Tata Consultancy Services; Indore District; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tata Consultancy Services in Indore is seeking a Python Engineer + LLM with 4–8 years of experience to design GenAI solutions, develop NLP models, and build scalable APIs.

You will work with PyTorch/TensorFlow, LangChain, and RAG pipelines, deploying via CI/CD on Azure/GCP/AWS and ensuring production readiness while advancing generative AI.

Qualifications

• 4–8 years of experience in Python and ML/NLP.
• Hands-on with GenAI, LLMs, and RAG pipelines.
• Experience with FastAPI and cloud CI/CD.
• LangChain/LlamaIndex experience is a plus.
• Bachelors or Masters in CS/AI/Data Science.

Responsibilities

• Design and implement GenAI solutions using LLMs, RAG, and Agentic AI.
• Develop and fine-tune NLP models with PyTorch or TensorFlow.
• Build scalable APIs using FastAPI to serve AI models.
• Collaborate with data scientists to deploy via CI/CD on Azure.
• Optimize performance and ensure production robustness.
• Stay updated with GenAI research and advances.
• Focus on scalability and latency in Gen AI apps.
• Containerize apps with Docker for packaging and deployment.

Skills

Python

NLP

Deep Learning

ML

LLMs

RAG

Agentic AI

FastAPI

CI/CD

Azure Cloud

GCP

AWS

Data Structures

Algorithms

LangChain/LlamaIndex

Education

Bachelor's or Master's in CS/AI/Data Science

Tools

Docker

Azure

GCP

AWS

CI/CD tools

Job description

Role: Python Engineer + LLM

Experience: 4 to 8 years

Location: Indore

Mode of Interview: Face to Face Inperson ( Walk in Interview)

Date of interview: 12th Sep 2026 (Saturday)

Roles and Responsibilities:

• Design and implement GenAI solutions leveraging LLMs, RAG pipelines, and Agentic AI architectures.
• Develop and fine-tune deep learning models for NLP tasks using frameworks like PyTorch or TensorFlow.
• Build scalable APIs using FastAPI to serve AI models and integrate with enterprise systems.
• Collaborate with data scientists and ML engineers to deploy models using CI/CD pipelines on Azure.
• Optimize model performance and ensure robustness in production environments.
• Stay updated with the latest research and advancements in generative AI and deep learning.
• Scalability & Performance:Ability to write efficient code and consider scalability and latency implications for Gen AI applications.
• Containerization:Practical experience withDockerfor packaging and deploying applications

Key skills:

• Strong programming skills inPythonwith experience in building ML/NLP applications.
• Hands‑on experience withDeep Learning,Machine Learning, andNatural Language Processing.
• Proficiency in working withLLMs(e.g., GPT,Gemini, LLaMA, Mistral) andRAGarchitecture.
• Experience withAgentic AIframeworks and autonomous agent design.
• Familiarity withFastAPIfor building RESTful APIs.
• Experience withCI/CD pipelinesand deploying solutions onAzure Cloud, GCP and AWS
• Solid understanding of data structures, algorithms, and software engineering principles.
• Bachelors or masters degree in computer science, AI, Data Science, or related field.
• Retrieval Augmented Generation (RAG):Hands‑on experience in building and optimizing RAG pipelines from scratch
• Expert‑level proficiency and hands‑on experience withLangChainand/orLlamaIndexfor building complex LLM applications, including chains, agents, memory, and tool integration.

Good to have skills:

• Excellent Communication Skills
• Strong Software Engineering Background (Productionizing the models)
• Hands‑on experience with data science tools
• Problem‑solving aptitudeAnalytical mind and great business sense