Description
We are looking for a
Senior AI/GenAI Engineer
with strong hands-on experience building and deploying
production-grade AI solutions
on
Azure . This is
not a data engineering role.
This role is responsible for designing end-to-end AI architectures, leading technical decisions, and translating business needs into scalable, reliable, and secure GenAI systems. You will work closely with cross-functional teams to deliver AI-powered solutions (copilots, AI agents, RAG pipelines) that support both internal operations and client-facing services.
Responsibilities
Design, build, and deploy
production-grade GenAI solutions
(AI agents, copilots, RAG pipelines) with a focus on scalability, reliability, and performance Own
end-to-end architecture
of AI systems on Azure, including integration with enterprise data platforms and backend services Lead the development of
LLM-powered applications
using Azure-native services and modern orchestration frameworks Implement
LLMOps practices , including monitoring, logging, evaluation, prompt/version management,



and cost optimization Translate business requirements into
technical AI solutions
and define scalable implementation strategies Ensure
security, governance, and compliance
across all AI solutions Optimize AI systems for
latency, cost, and accuracy
in production environments Provide
technical leadership , mentor engineers, and drive best practices in system design and code quality
Requirements Proven experience as a
Senior or Lead Engineer
delivering
production-grade AI/ML or GenAI solutions Strong hands-on expertise in
Azure , including designing and deploying
end-to-end AI architectures Experience with
Azure AI Foundry ,
Azure OpenAI , and enterprise AI service integration Solid experience building AI agents using
Microsoft Agent Framework
(or similar frameworks) Strong Python experience
building AI applications, APIs, and LLM-based services (not only data pipelines) Strong experience with
RAG architectures , prompt engin

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