Python Cloud AI Engineer I

UST; Hyderabad; On-site; INR 3,000,000 - 6,000,000; Full time

Job summary

UST is seeking a Senior AI Engineer in Hyderabad to design, develop, and deploy scalable AI solutions for enterprise platforms. You will specialize in Python full-stack development, GenAI/LLM apps, RAG architectures, and Agentic AI frameworks, integrating with data ecosystems.

You will build and maintain REST APIs and microservices, implement RAG pipelines, and orchestrate multi-agent workflows with LangChain or similar tools, while ensuring security and governance.

Qualifications

• 8+ years of software engineering experience and enterprise-grade AI delivery.
• Strong Python coding skills and production AI experience.
• Hands-on GenAI implementation including RAG and AI agents in production.
• Experience integrating AI with enterprise systems and data platforms.
• Knowledge of prompt engineering, AI app design, and observability.

Responsibilities

• Design and develop enterprise AI applications using LLMs, RAG, and Agentic AI frameworks.
• Build and deploy production-grade AI solutions with Python and backend frameworks.
• Develop and maintain REST APIs, microservices, and enterprise integrations.
• Design RAG pipelines for knowledge retrieval and grounded AI responses.
• Create multi-agent workflows using LangChain, LangGraph, CrewAI, or similar.
• Integrate AI platforms with enterprise systems and data ecosystems.
• Implement CI/CD pipelines and automate deployment processes.
• Monitor performance, reliability, observability, and cost of AI apps.
• Collaborate with stakeholders to deliver scalable AI solutions while ensuring governance.

Skills

Python

GenAI/LLM

RAG architectures

Agentic AI frameworks

REST APIs

Microservices

Cloud platforms (AWS/Azure/GCP)

Docker

Kubernetes

CI/CD

Education

Bachelor's or Master's in CS/Engineering

Tools

LangChain

LangGraph

CrewAI

MCP (Model Context Protocol)

Semantic Kernel

Job description

Job Summary

We are looking for a highly skilled Senior AI Engineer with strong software engineering fundamentals and hands-on experience building and deploying enterprise-grade AI solutions. The ideal candidate should have expertise in Python Full Stack Development, GenAI/LLM applications, RAG architectures, Agentic AI frameworks, and cloud-native platforms.

This role will be responsible for designing, developing, and deploying scalable AI solutions while integrating them with enterprise platforms and data ecosystems.

Responsibilities

• Design and develop enterprise AI applications using Large Language Models (LLMs), RAG, and Agentic AI frameworks.
• Build and deploy production-grade AI solutions using Python and modern backend frameworks.
• Develop and maintain REST APIs, microservices, and integration layers connecting AI solutions with enterprise applications.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and grounded AI responses.
• Build multi-agent workflows using frameworks such as LangChain, LangGraph, CrewAI, or similar technologies.
• Integrate AI platforms with enterprise systems, databases, and third-party applications.
• Implement CI/CD pipelines and automate deployment processes.
• Monitor and optimize AI application performance, reliability, observability, and cost.
• Collaborate with business stakeholders, architects, and engineering teams to deliver scalable AI solutions.
• Ensure adherence to security, governance, and data management standards.

Mandatory Skills

• Software Engineering 8+ years of software engineering experience.
• Strong hands-on coding experience in Python.
• Experience building scalable enterprise applications.
• Strong problem-solving and software design skills.
• GenAI AI engineering hands-on experience implementing GenAI solutions in production.
• Experience with: Retrieval-Augmented Generation (RAG) AI Agents / Agentic AI LLM integrations and orchestration.
• Understanding of prompt engineering and AI application design.
• AI Frameworks (Preferred) Experience with one or more of: LangChain, LangGraph, CrewAI, MCP (Model Context Protocol), Semantic Kernel.
• Backend Integration Development
• Strong experience developing: REST APIs, Microservices, Enterprise integrations.
• Experience integrating AI applications with enterprise platforms and business systems.
• Cloud Platforms Hands-on experience with one or more: AWS, Microsoft Azure, Google Cloud Platform (GCP).
• Containerization (Docker) Kubernetes
• Cloud-native application development
• Databases / Data Platforms
• Strong understanding of: Relational Databases (SQL Server, PostgreSQL, MySQL, Oracle); NoSQL Databases (MongoDB, Cassandra, DynamoDB, Cosmos DB); Azure Data Factory (ADF); Snowflake; Databricks; Data Governance and Data Quality practices
• DevOps and Observability: CI/CD Pipelines (GitLab, Azure DevOps, Jenkins, GitHub Actions); Monitoring and Logging tools; Application Observability; Performance monitoring and troubleshooting

Required Qualifications

• Bachelors or Masters degree in Computer Science, Engineering, Information Technology, or related field.
• Proven experience delivering enterprise-scale applications and AI solutions.
• Strong communication and stakeholder management skills.
• Ability to work in a fast-paced and evolving technology environment.

Nice-to-Have Skills

• Experience designing high-scale distributed systems.
• Experience with Vector Databases (Pinecone, FAISS, Chroma, Weaviate, Azure AI Search).
• Knowledge of AI observability, tracing, and evaluation frameworks.
• Experience with React or modern frontend frameworks.
• Experience working directly with clients and business stakeholders.
• Telecommunications domain experience.