Senior AI Engineer

About this role

## Role Summary

As a Senior AI Engineer, you will design, build, deploy, and support production-grade GenAI and agentic AI solutions that integrate large language models (LLMs), retrieval-based patterns, APIs, and enterprise workflows. You will play a hands-on engineering role in delivering scalable, reliable, and maintainable AI-powered product capabilities, while partnering closely with Lead AI Engineers, Team Leads, architects, and cross-functional product teams.

This role is ideal for an engineer with strong technical depth in LLM-powered application development, RAG, and cloud-native AI delivery, who can independently implement solution components, contribute to engineering standards, and help operationalize AI systems in real business environments.

## Key Responsibilities

• Design, develop, test, and deploy LLM-powered application components and AI-enabled services for enterprise use cases
• Build and optimize retrieval-augmented generation (RAG) pipelines, including document ingestion, chunking, embeddings, retrieval strategies, and response grounding
• Implement agentic AI workflows using orchestration frameworks and reusable design patterns for task execution, tool usage, and context handling
• Develop AI-enabled APIs and backend services using technologies such as Python, FastAPI, Azure Functions, containerized services, and REST-based integration patterns (or equivalent platforms and frameworks)
• Work with Azure OpenAI, Azure AI Studio, Semantic Kernel, LangChain, AutoGen, Azure AI Search, or equivalent tools to build scalable GenAI solutions
• Collaborate with Lead AI Engineers and architects to translate solution designs into robust technical implementations
• Integrate AI services with enterprise systems, APIs, workflow platforms, and downstream applications
• Implement logging, tracing, monitoring, and basic operational controls using tools such as Application Insights, OpenTelemetry, Azure Monitor, Datadog, New Relic, or equivalent observability...