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.