Generative Ai Developer

Tata Consultancy Services; Indore District; On-site; INR 900,000 - 1,500,000; Full time

Job summary

Tata Consultancy Services in Indore, India seeks a Python Engineer/ Gen AI Developer with 4-8 years of experience to design and implement GenAI solutions, build scalable APIs with FastAPI, and deploy models on cloud platforms.

The role collaborates with data scientists, leverages LLMs, RAG pipelines, and Agentic AI architectures, emphasizes performance, CI/CD, and containerization with Docker, and requires strong Python, ML/NLP skills, and knowledge of Azure, AWS or GCP.

Qualifications

• Strong programming in Python for ML/NLP apps.
• Hands-on Deep Learning, ML, NLP experience.
• Proficient with LLMs (GPT, Gemini, LLaMA, Mistral) and RAG architectures.
• Experience with Agentic AI frameworks and autonomous agents.
• Familiar with FastAPI for REST APIs.
• Experience with CI/CD and deploying on Azure, AWS, GCP.
• Solid data structures, algorithms, and software engineering basics.
• Bachelors or masters in CS/AI/DS or related field.
• Hands-on RAG pipelines from scratch.
• LangChain/LlamaIndex for complex LLM apps, chains, agents, memory and tool integration.

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 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 on Azure.
• Optimize model performance and ensure robustness in production environments.
• Stay updated with latest research in generative AI and deep learning.
• Write efficient code with scalability and latency considerations for GenAI apps.
• Containerization with Docker for packaging and deployment.

Skills

Python

Deep Learning

Machine Learning

Natural Language Processing

LLMs

RAG

Agentic AI

FastAPI

CI/CD

Azure Cloud

GCP

AWS

Data structures

Algorithms

Software engineering

LangChain

LlamaIndex

Education

Bachelor's or master's in Computer Science, AI, Data Science, or related field

Tools

PyTorch

TensorFlow

Docker

LangChain

LlamaIndex

FastAPI

Job description

Job Title:

Python Engineer/ Gen AI Developer (4-8 yrs experience)

Primary Role & 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 with Docker for packaging and deploying applications.

Key Skills, Experience & Knowledge:

(Must-Have)

• Strong programming skills in Python with experience in building ML/NLP applications.
• Hands-on experience with Deep Learning, Machine Learning, and Natural Language Processing.
• Proficiency in working with LLMs (e.g., GPT,Gemini, LLaMA, Mistral) and RAG architecture.
• Experience with Agentic AI frameworks and autonomous agent design.
• Familiarity with FastAPI for building RESTful APIs.
• Experience with CI/CD pipelines and deploying solutions on Azure 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 with LangChain and/or LlamaIndex for building complex LLM applications, including chains, agents, memory, and tool integration

Key Skills/Knowledge:

(Good to have)

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

Key Relationships & Contacts:

• Key interactions: IT Product Owners, IT Agile Delivery Leads, IT Scrum Masters, AI Architects, Data Engineer.