SENIOR AI ENGINEER

<p>We are looking for a Senior AI Engineer with strong hands-on experience designing and building Generative AI and Agentic AI solutions within the Microsoft Azure ecosystem.</p><p>This is a highly technical role focused on building production-ready AI applications using Azure AI Foundry, Microsoft Fabric, agentic workflows, RAG, knowledge graphs, embeddings, and modern retrieval techniques.</p><p>The ideal candidate combines strong software engineering skills with practical experience building and evaluating LLM-powered applications. Experience in financial services is a plus, but not required.</p><p><em>Key Responsibilities</em></p><ul><li>Design, build, and deploy production-ready Generative AI and Agentic AI applications using Azure AI Foundry.</li><li>Develop agentic workflows using agents, tools, skills, orchestration patterns, and enterprise data sources.</li><li>Build and optimize RAG architectures, including retrieval, grounding, context management, chunking, embeddings, and vector search.</li><li>Design and implement graph-based approaches and knowledge graphs to enhance retrieval and reasoning.</li><li>Work extensively with Microsoft Fabric and Azure data services to connect AI applications with enterprise data.</li><li>Develop and integrate AI agents, skills, tools, and APIs to support complex business workflows.</li><li>Implement LLM and agent evaluation frameworks (evals) to measure quality, accuracy, relevance, reliability, and performance.</li><li>Experiment with different models, prompts, retrieval strategies, chunking approaches, and agent architectures.</li><li>Build reusable components and patterns for AI application development.</li><li>Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to translate use cases into scalable AI solutions.</li><li>Troubleshoot and optimize AI applications across development and production environments.</li><li>Contribute to architecture decisions, technical documentation, and engineering best practices.</li></ul> <ul><li>Strong hands-on experience with Azure AI Foundry — required.</li><li>Hands-on experience building Agentic AI / agent-based workflows — required.</li><li>Strong practical experience with RAG architectures — required.</li><li>Experience with graphs or knowledge graph approaches — required.</li><li>Strong understanding and hands-on experience with chunking and embedding strategies — required.</li><li>Experience building and working with AI agents, tools, and skills — required.</li><li>Experience with LLM / AI evaluation (evals) — required.</li><li>Experience working with Microsoft Fabric or comparable Azure data platforms — strongly preferred.</li><li>Strong software engineering skills, ideally with Python.</li><li>Experience integrating LLM applications with APIs, enterprise systems, and data sources.</li><li>Experience taking AI prototypes into production.</li><li>Strong understanding of LLM application architecture and modern Generative AI patterns.</li></ul><p><em>Nice to Have</em></p><ul><li>Experience in financial services, banking, lending, insurance, or related industries.</li><li>Experience with Azure-native data and AI services.</li><li>Experience with AI observability, governance, and responsible AI.</li><li>Experience with CI/CD and cloud-native application development.</li><li>Experience with multi-agent architectures.</li><li>Experience with semantic search and vector databases.</li></ul> <p><strong>Our perks and benefits:</strong></p><p>📚 Learning Opportunities:</p><ul><li>Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.</li><li>Access to AI learning paths to stay up to date with the latest technologies.</li><li>Study plans, courses, and additional certifications tailored to your role.</li><li>Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.</li><li>English lessons to support your professional communication.</li></ul><p>👨🏽‍💻 Travel opportunities to attend industry conferences and meet clients.</p><p>👩‍🏫 Mentoring and Development:</p><ul><li>Career development plans and mentorship programs to help shape your path.</li></ul><p>🎁 Celebrations &amp; Support:</p><ul><li>Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.</li><li>Company-provided equipment.</li></ul><p>⚖️ Flexible working options to help you strike the right balance.</p><p>Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.</p>