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Devsu

Devsu is a technology agency that provides software development services, IT augmentation and staffing.

Senior AI Engineer (GenAI / Azure - Application Development)

EngineerEngineerFull TimeRemoteSeniorTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Worldwide

Posted

39 days ago

Salary

0

Seniority

Senior

Job Description

Senior AI Engineer (GenAI / Azure - Application Development)

Devsu

Role 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. Qualifications - 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 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 - 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 flexible Paid Time Off (PTO) policy as well as paid holiday days. - Challenging, world-class software projects for clients in the US and LatAm. - Collaboration with some of the most talented software engineers in Latin America and the US, in a diverse work environment.

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