Python Engineer Agentic Ai Llms

Supreme Consulting; Hyderabad, Giridih; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Supreme Consulting is seeking a skilled AI engineer to develop AI-powered enterprise applications using Python and modern frameworks. You will design agentic AI workflows, work with LLMs, RAG architectures, embeddings, and prompt engineering to deliver scalable solutions.

Collaborate with data scientists and solution architects, integrate OpenAI, LangChain, LangGraph, and LlamaIndex, and expose capabilities via REST APIs and microservices.

Qualifications

• Proven experience building AI-powered enterprise applications.
• Experience designing agentic AI workflows and intelligent automation.
• Strong knowledge of LLMs, RAG architectures, embeddings and prompt engineering.

Responsibilities

• Develop AI-powered enterprise applications with Python and modern frameworks.
• Design and implement agentic AI workflows and intelligent automation solutions.
• Build apps using LLMs, RAG architectures, embeddings, and prompt engineering techniques.
• Integrate OpenAI, LangChain, LangGraph, and LlamaIndex into enterprise solutions.
• Develop REST APIs and microservices to expose AI capabilities.
• Deploy AI applications using Docker, Kubernetes, and cloud platforms (Azure/AWS/GCP).
• Collaborate with Data Scientists, Product Teams, and Solution Architects to deliver AI-driven solutions.
• Participate in CI/CD pipelines, MLOps implementation, testing, and production deployments.

Skills

Python

Generative AI

Agentic AI

OpenAI APIs

LangChain

LangGraph

LlamaIndex

Large Language Models (LLMs)

Prompt Engineering

RAG Architecture

TensorFlow / PyTorch / Keras

REST APIs

Microservices

CI/CD

MLOps

GitHub

Education

Bachelor’s degree in a relevant field

Tools

OpenAI APIs

LangChain

LangGraph

LlamaIndex

TensorFlow / PyTorch / Keras

REST APIs

Microservices

Docker

Kubernetes

Azure / AWS / GCP

CI/CD

MLOps

GitHub

Job description

Key Responsibilities

• Develop AI-powered enterprise applications using Python and modern AI frameworks
• Design and implement Agentic AI workflows and intelligent automation solutions
• Build applications using LLMs, RAG architectures, embeddings, and prompt engineering techniques
• Integrate OpenAI, LangChain, LangGraph, and LlamaIndex into enterprise solutions
• Develop REST APIs and microservices to expose AI capabilities
• Deploy AI applications using Docker, Kubernetes, and cloud platforms such as Azure, AWS, or GCP
• Collaborate with Data Scientists, Product Teams, and Solution Architects to deliver AI-driven solutions
• Participate in CI/CD pipelines, MLOps implementation, testing, and production deployments

Required Skills

• Python
• Generative AI
• Agentic AI
• OpenAI APIs
• LangChain
• LangGraph
• LlamaIndex
• Large Language Models (LLMs)
• Prompt Engineering
• RAG Architecture
• TensorFlow / PyTorch / Keras
• REST APIs
• Microservices
• Docker
• Kubernetes
• Azure / AWS / GCP
• CI/CD
• MLOps
• GitHub