Description
We are looking for a
Senior AI/Gen AI 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 Gen AI 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 Gen AI 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 Gen AI solutions Strong hands-on expertise in
Azure , including designing and deploying
end-to-end AI architectures Experience with
Azure AI Foundry ,
Azure Open AI ,



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 engineering, and LLM orchestration Experience with
Databricks, Azure Data Factory, and SQL
for data-driven AI solutions Hands-on experience with
LLMOps / MLOps practices
(monitoring, evaluation, versioning, deployment pipelines) Strong understanding of
system design, scalability, and distributed systems Proven ability to deliver
measurable impact in production environments
(e.g., automation, cost savings, performance improvements) Strong communication skills with the ability to
work with both technical and non-technical stakeholders Experience leading technical initiatives and mentoring engineers in a
delivery-focused environment
Benefits At Devsu, we believe in creating an environment where you can thrive both personally and professionally. By joining our team, you’ll enjoy: • A stable, long-term contract with opportunities for career growth • Private health insurance • A remote-friendly culture that promotes work-life balance • Continuous training, mentorship, and learning programs to keep you at the forefront of the industry • Free access to AI training resources and state-of-the-art AI tools to elevate your daily work • A versátil Paid Time Off (PTO) policy as well as paid holiday days • Challenging, world-class software projects for clients in the US and Lat Am • Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment Join Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.

📌 Senior microsoft ai developer (azure / python) (Ciudad General Escobedo)
🏢 Devsu
📍 Ciudad General Escobedo