Artificial Intelligence Engineer

UST; Hyderabad; On-site; INR 4,200,000 - 7,000,000; Full time

Job summary

UST is seeking a Senior AI Engineer to design and deliver enterprise-grade AI solutions. You will work on Python full-stack development, GenAI, LLMs, RAG, and agentic AI frameworks.

Responsibilities include building scalable backends, REST APIs, and CI/CD pipelines, while ensuring governance and security compliance across enterprise data and systems.

Qualifications

• 6+ years of software development experience.
• Strong Python programming expertise.
• Experience delivering enterprise AI solutions in production.
• Experience with RAG, LLMs, and agentic AI workflows.
• Familiarity with cloud platforms (AWS) and DevOps practices.
• Experience with enterprise system integrations and REST/microservices.

Responsibilities

• Design and develop enterprise AI applications using LLMs, RAG, and agentic AI frameworks.
• Build scalable, production-ready Python backend services and APIs.
• Develop REST APIs, microservices, and integration services.
• Design and implement RAG pipelines for knowledge retrieval and contextual responses.
• Build AI agent workflows using LangChain, LangGraph, CrewAI, Semantic Kernel, or MCP.
• Integrate AI solutions with enterprise apps and databases.
• Implement CI/CD pipelines and automate deployments.
• Monitor performance, reliability, and observability of AI solutions.
• Collaborate with architects and stakeholders to deliver scalable AI systems.
• Ensure security, governance, and data management compliance.

Skills

Python

LLMs

RAG

Agentic AI

Prompt Engineering

AI Application Design

APIs

Docker

AWS

Data Governance

Data Quality

Distributed Systems

React (Frontend)

Education

Bachelor's or Master's in CS/Engineering/IT

Tools

LangChain

LangGraph

CrewAI

Semantic Kernel

MCP

Job description

Senior AI Engineer | GenAI | Agentic AI | Python Full Stack

Role Overview

We are seeking a highly skilled Senior AI Engineer with strong software engineering expertise and hands-on experience delivering enterprise-grade AI solutions. The ideal candidate will have experience in Python Full Stack Development, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agentic AI frameworks, cloud platforms, and scalable application development.

The role involves designing, developing, integrating, and deploying AI-powered solutions that seamlessly connect with enterprise systems, data platforms, and business applications.

Key Responsibilities

• Design and develop enterprise AI applications using LLMs, RAG, and Agentic AI frameworks.
• Build scalable, production-ready solutions using Python and modern backend technologies.
• Develop REST APIs, microservices, and integration services.
• Design and implement RAG pipelines for intelligent knowledge retrieval and contextual responses.
• Build AI agent workflows using frameworks such as LangChain, LangGraph, CrewAI, Semantic Kernel, or MCP.
• Integrate AI solutions with enterprise applications, databases, and third-party systems.
• Implement CI/CD pipelines and automate deployment processes.
• Monitor, troubleshoot, and optimise application performance, reliability, and observability.
• Collaborate with architects, engineering teams, and business stakeholders to deliver scalable AI solutions.
• Ensure compliance with security, governance, and data management standards.

Required Skills & Experience

Software Engineering

• 6+ years of software development experience.
• Strong programming expertise in Python.
• Experience building and scaling enterprise applications.
• Strong software design, architecture, and problem-solving skills.
• Hands-on experience implementing AI/GenAI solutions in production environments.
• Strong experience with:
• Retrieval-Augmented Generation (RAG)
• AI Agents / Agentic AI
• Prompt Engineering
• AI Application Design & Orchestration

AI Frameworks

Experience with one or more of:

• LangChain
• LangGraph
• CrewAI
• Semantic Kernel

Backend Development & Integrations

• Enterprise System Integrations
• AI Platform Integration

Experience with one or more:

• AWS

Hands-on experience with:

• Docker
• Cloud-Native Application Development

Data & Analytics Platforms

Experience with:

• Snowflake
• Databricks

Knowledge of:

• Data Governance
• Data Quality Frameworks

DevOps & Observability

Experience with:

• Application Observability
• Performance Optimization & Troubleshooting

Preferred Skills

• React or modern frontend frameworks
• Distributed and high-scale system design

Qualifications

• Bachelor's or master's degree in computer science, Engineering, Information Technology, or related discipline.
• Proven experience delivering enterprise-scale software and AI solutions.
• Strong communication, collaboration, and stakeholder management skills.
• Ability to thrive in a fast-paced and evolving technology environment.

Key Skills