Lead I - ML Engineering :: AI Engineer

Role description

Job Title: Senior AI Engineer

Experience Range

7+ Years of professional software development experience

Hands-on experience building AI/ML or LLM-based enterprise solutions

Hiring Location: Hyderabad

Must-Have Skills

AI / Generative AI

Hands-on experience building AI systems using Large Language Models (LLMs)

Experience designing and developing:

Retrieval-Augmented Generation (RAG) pipelines

Agentic AI workflows

Multi-model orchestration

Experience integrating LLMs with enterprise data and tools

Experience with agent frameworks and tool-use/connector patterns (e.g., MCP)

Prompt engineering fundamentals

AI-assisted development tools (GitHub Copilot, Cursor, etc.)

Backend Development

Strong backend development experience

REST API development

Enterprise integration services

Modern programming languages/frameworks (Python, Java, Node.js, etc.)

Cloud & Platform

Cloud-native application development

AWS / Azure / GCP

Secure application development

Authentication & Authorization

Secrets management

DevOps / CI-CD

GitLab CI/CD (or equivalent)

Automated build, test, and deployment pipelines

AI Observability

Structured logging

Monitoring AI system performance

Cost monitoring

Output quality monitoring

Tracing & instrumentation

Software Engineering

Enterprise application architecture

Scalable and maintainable software development

Technical design

Component-level architecture decisions

Strong ownership mindset

Ability to work in agile environments with evolving requirements

Good-to-Have Skills

High-throughput distributed systems

Low-latency architecture

LLM evaluation frameworks

AI observability platforms

Hallucination detection

Agent tracing

React / Frontend development

AI for log analysis

AI-driven anomaly detection

Operational intelligence solutions

Forward Deployed Engineering (FDE) experience

Consulting/customer-facing engineering experience

Multi-domain enterprise solution delivery

Preferred Technical Stack

AI Technologies

LLMs

RAG

Agentic AI

Multi-Agent Systems

MCP (Model Context Protocol)

Prompt Engineering

Cloud

AWS

Azure

Google Cloud Platform (GCP)

Backend

REST APIs

Enterprise Integrations

Microservices

DevOps

GitLab CI/CD

Automation Pipelines

Observability

Logging

Monitoring

Tracing

AI Performance Evaluation

Key Responsibilities

Design and build enterprise-grade AI applications using LLMs.

Develop RAG pipelines and agentic AI workflows.

Build backend APIs and integration services.

Integrate AI capabilities with enterprise systems and data sources.

Implement secure, scalable, cloud-native AI solutions.

Build and maintain CI/CD pipelines.

Monitor AI system performance, cost, and output quality.

Apply AI engineering best practices for security, reliability, and compliance.

Work closely with product, architecture, and engineering teams to deliver production-ready AI solutions.

Skills

Agentic AI, CI/CD, LLMs, GitLab, Backend Development, Authentication and Authorization, Cloud Infrastructure, Observability, REST

About UST

UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact - touching billions of lives in the process.