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Shared by 
29 days ago
Requirements and responsibilities
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.ResponsibilitiesDesign, 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 qualityRequirementsProven 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 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 environmentBenefitsAt 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 growthPrivate health insuranceA remote-friendly culture that promotes work-life balanceContinuous training, mentorship, and learning programs to keep you at the forefront of the industryFree access to AI training resources and state-of-the-art AI tools to elevate your daily workA flexible Paid Time Off (PTO) policy as well as paid holiday daysChallenging, world-class software projects for clients in the US and LatAmCollaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environmentJoin Devsu and discover a workplace that values your growth, supports your well-being, and empowers you to make a global impact.
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