Python Engineer / Generative AI Developer (LLM & Agentic AI)

Experience: 4 - 8 Years
Location: Indore

Employment Type: Full-Time

Job Summary

We are seeking a highly skilled Python Engineer / Generative AI Developer with 4 to 8 years of experience in software development, AI/ML, and modern Generative AI technologies. The ideal candidate should possess strong expertise in Python development, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, and cloud-based deployment environments.

The role involves designing, developing, and deploying enterprise-grade AI solutions leveraging cutting-edge Generative AI technologies to solve real-world business challenges in the Manufacturing domain. The candidate will work closely with AI Architects, Data Scientists, Data Engineers, and Product Owners to build scalable, secure, and production-ready AI applications.

Key Responsibilities

Generative AI & LLM Development

- Design, develop, and implement advanced Generative AI solutions using Large Language Models (LLMs).
- Build intelligent AI assistants, copilots, and autonomous agents using Agentic AI architectures.
- Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for enterprise knowledge retrieval.
- Design prompt engineering strategies and evaluate LLM responses for accuracy, relevance, and safety.
- Fine-tune foundation models and open-source LLMs where required.

AI/ML Engineering

- Develop and deploy machine learning and deep learning models using frameworks such as:
- PyTorch
- TensorFlow
- Hugging Face Transformers

- Build NLP solutions including:

- Text Classification
- Information Extraction
- Conversational AI
- Semantic Search
- Document Intelligence

- Perform model evaluation, testing, optimization, and performance tuning.

Python Application Development





- Develop scalable backend services and AI-driven applications using Python.
- Build RESTful APIs and microservices using FastAPI.
- Integrate AI models with enterprise applications and business workflows.
- Ensure clean, reusable, and maintainable code following software engineering best practices.

Agentic AI & Orchestration

- Design and implement autonomous AI agents capable of reasoning, planning, and executing tasks.
- Develop multi-agent workflows for complex enterprise use cases.
- Leverage frameworks such as:
- LangChain
- LangGraph
- LlamaIndex
- CrewAI
- AutoGen

- Integrate external tools, APIs, memory management, and function calling capabilities.

Cloud & DevOps

- Deploy AI applications and services across cloud environments:
- Microsoft Azure
- AWS
- Google Cloud Platform (GCP)

- Implement CI/CD pipelines for automated deployment and monitoring.
- Utilize Docker containerization for packaging and deployment.
- Collaborate with DevOps teams to ensure high availability and scalability.

Performance Optimization

- Optimize latency, throughput, and scalability of AI solutions.
- Implement caching, vector search optimization, and productive retrieval mechanisms.
- Monitor model performance and continuously improve solution effectiveness.
- Address production issues and ensure system reliability.

Research & Innovation

- Stay updated with the latest advancements in:
- Generative AI
- Foundation Models
- Agentic AI




- Deep Learning
- AI Governance

- Evaluate emerging tools and frameworks for enterprise adoption.
- Contribute to innovation initiatives and proof-of-concept developments.

Required Technical Skills (Must Have)

Programming & Software Engineering

- Strong proficiency in Python programming.
- Solid understanding of Data Structures, Algorithms, and Object-Oriented Programming.
- Experience building production-grade applications.

Artificial Intelligence & Machine Learning

- Hands-on experience with:
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)

- Experience developing and deploying AI/ML models.

Large Language Models (LLMs)

- Working experience with one or more LLMs:
- Strong understanding of prompt engineering and model evaluation.

Retrieval-Augmented Generation (RAG)

- Hands-on experience building RAG systems from scratch.
- Experience with:
- Vector Databases
- Embedding Models
- Semantic Search
- Knowledge Retrieval Architecture

Agentic AI

- Experience developing AI agents capable of task orchestration and autonomous decision-making.
- Knowledge of multi-agent systems and complex workflow orchestration.

LLM Frameworks

- Expert-level hands-on experience with:
- LangChain
- LlamaIndex

- Experience in:

- Chains
- Agents
- Memory
- Tool Integration
- Retrieval Workflows

API & Backend Development

- Robust experience with FastAPI.
- Development of scalable RESTful APIs and microservices.

Cloud & DevOps

- Experience with Azure, AWS, or GCP.
- CI/CD implementation experience.
- Docker containerization and deployment.

Education

- Bachelor's or Master's degree in:
- Computer Science
- Artificial Intelligence
- Data Science
- Information Technology
- Related Engineering Discipline

📌 Python Engineer (Indore)
🏢 Tata Consultancy Services
📍 Indore