Role overview
As a Senior AI Engineer, you'll be a contributor across our Search and AI engineering teams, shaping the architecture of systems that bridge traditional backend engineering with cutting-edge AI capabilities. You'll work across the full stack — from cloud infrastructure and distributed systems to agent orchestration and AI evaluation frameworks — built on .NET, python and Azure at enterprise scale.
*Job Description and Requirements
What you'll work on
Design, develop, and operate secure, maintainable, and scalable AI systems using object-oriented principles, modern architecture, and cloud-native patterns.
Build and deploy intelligent AI agents capable of autonomous reasoning, decision-making, and task execution across enterprise systems.
Integrate AI orchestration and reasoning frameworks (e.g., LangChain , Semantic Kernel, MLflow , vector databases) into production environments to deliver real business value.
Develop retrieval, orchestration, and reasoning pipelines for AI agents, enabling context-aware and multi-turn interactions with enterprise data sources and APIs.
Utilize Azure AI and cloud services (Azure ML, Cognitive Services, Functions, App Services, Cosmos DB, Azure DevOps) to create scalable AI-enabled applications.
Collaborate with cross-functional teams including product, backend, and data engineering to design interfaces and protocols for AI-agent collaboration.
Drive engineering excellence through code reviews, architecture discussions, and mentorship.
Champion DevOps and MLOps best practices —CI/CD pipelines for AI workflows, observability for inference performance, and reproducibility of agentic systems.
Adopt AI-assisted development tools (e.g., GitHub Copilot, Cursor, OpenAI API tooling) to accelerate software delivery and improve developer productivity.
Ensure reliability and observability of deployed AI systems using monitoring, logging, and runtime performance metrics.
Contribute to architectural decisions around agent frameworks, model lifecycle management, and cloud-native scalability.
Stay current with emerging AI technologies and frameworks , sharing insights and recommendations that shape the company’s AI strategy.
What we're looking for
Automation, Data Analysis, Database Management, Network Architecture, Performance Optimizations, Problem Solving, Project Management, Software Development, System Designs, Technical Leadership