We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Senior AI Engineer (GenAI / Azure) at Devsu. We are looking for a . Senior AI/GenAI Engineer. with strong hands-on experience building and deploying . production-grade AI solutions. on . Azure. . 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. 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) . Advanced . Python development skills. , including APIs, backend services, and AI 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. Company Location: Brazil.