Role description

- 6+ years of professional experience in AI/ML development, software engineering, or testing.
- Hands-on experience with Copilot, Claude, OpenAI, or other LLM-based platforms.
- Dedicated testing and QA experience within AI/ML systems.
- Proven experience delivering production-grade AI applications.
- Experience working with multi-model AI ecosystems across OpenAI, Anthropic, Microsoft, Google, Meta, and similar platforms.
- Hands-on experience in designing, developing, and deploying AI-powered tools and applications in enterprise environments.
- Demonstrated experience implementing and managing productionized AI solutions, including monitoring, governance, scalability, and performance optimization.
- Experience implementing RAG (Retrieval Augmented Generation) solutions and integrating with vector databases.
- Exposure to MCP (Model Context Protocol) servers and AI agent frameworks.

AI & Machine Learning Technologies

- LangChain
- LlamaIndex
- OpenAI APIs
- Anthropic APIs
- Azure OpenAI
- Microsoft Copilot
- Prompt Engineering
- RAG (Retrieval Augmented Generation)
- MCP (Model Context Protocol) Servers
- AI Guardrails implementation and validation
- Context Compression and Token Optimization techniques

Key Responsibilities

AI Development & Implementation

- Build and maintain enterprise-grade AI tools leveraging LLMs, Copilots, and AI agent frameworks.
- Implement AI Guardrails to ensure application safety, compliance, responsible AI usage, and security.
- Design and optimize Context Compression strategies to reduce token consumption,



improve performance, and control operational costs.
- Develop and integrate RAG pipelines and MCP Server-based solutions to enable contextual and scalable AI experiences.
- Deploy, monitor, and maintain productionized AI solutions with appropriate observability, governance, and feedback mechanisms.

The candidate should possess a solid understanding of:

- Large Language Models (LLMs)
- Generative AI solution architecture
- Retrieval Augmented Generation (RAG)
- Vector Databases
- NLP/NLU concepts
- AI Ethics and Responsible AI
- Bias Detection and Mitigation
- AI Security and Data Privacy
- Regulatory Compliance Requirements
- AI Guardrails, content filtering, prompt injection prevention, and responsible AI controls
- Context Compression, token management, and cost optimization strategies
- MCP (Model Context Protocol) architecture and AI agent integrations
- Best practices for production deployment, monitoring, and governance of AI solutions

Required Technical Competencies

AI & LLM Expertise

- Microsoft Copilot Suite
- GitHub Copilot
- Claude (Opus, Sonnet, Haiku)
- OpenAI GPT Models
- Prompt Engineering
- Few-shot Learning Techniques
- Model Selection & Evaluation




- Hands-on experience building AI tools and enterprise AI applications
- Design and implementation of AI Guardrails
- Context Compression and Token Optimization techniques
- RAG architecture design and implementation
- MCP Server integration and configuration
- Production deployment and lifecycle management of AI solutions
- Experience implementing AI Guardrails and Responsible AI frameworks in enterprise environments.
- Hands-on experience optimizing LLM applications for token efficiency, latency, and cost management.
- Experience working with MCP servers, AI agents, and multi-agent architectures.
- Experience deploying and supporting productionized AI solutions at scale.
- Experience building custom AI copilots, assistants, and enterprise AI tools.

Skills

LangChain, LLMs, MLOps, Python, LlamaIndex, OpenAI, NoSQL, NLP, SQL, Prompt Engineering, Machine Learning, AI development, Guardrails, RAG

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.

📌 AI Engineer (Telangana)
🏢 UST
📍 Telangana