Senior AI Engineer

🔥 0 minutes ago

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Blend360

WebsiteLinkedInAll Job Openings

501 - 1000 employees

🏥 Healthcare

🏨 Hospitality

✈️ Travel

💰 $100M Private Equity Round on 2022-08

Healthcare • Hospitality • Travel

Blend360 is a professional services company specializing in AI, data analytics, and data-driven solutions. They work with Fortune 1000 and large enterprise brands to tackle significant challenges by integrating people and artificial intelligence. Blend360 focuses on several domains including business intelligence, data engineering, data science, MLOps, and data governance. Their industries of expertise encompass financial services, energy, healthcare and life sciences, retail, technology, media & telecom, and travel & hospitality. Blend360 is recognized for their AI and data solutions, having earned accolades such as "AI-Enabling Solution of the Year" and being listed among the "Top Generative AI Service Providers 2024.

📋 Description

• Design, build, and deploy production-ready Generative AI and Agentic AI applications using Azure AI Foundry • Develop agentic workflows using agents, tools, skills, orchestration patterns, and enterprise data sources • Build and optimize RAG architectures, including retrieval, grounding, context management, chunking, embeddings, and vector search • Design and implement graph-based approaches and knowledge graphs to enhance retrieval and reasoning • Work with Microsoft Fabric and Azure data services to connect AI applications with enterprise data • Develop and integrate AI agents, skills, tools, and APIs for complex business workflows • Implement LLM and agent evaluation frameworks to measure quality, accuracy, relevance, reliability, and performance • Experiment with models, prompts, retrieval strategies, chunking approaches, and agent architectures • Build reusable components and patterns for AI application development • Collaborate with Data Scientists, Data Engineers, Software Engineers, and business stakeholders to translate use cases into scalable AI solutions • Troubleshoot and optimize AI applications across development and production environments • Contribute to architecture decisions, technical documentation, and engineering best practices

🎯 Requirements

• Strong hands-on experience with Azure AI Foundry — required • Hands-on experience building Agentic AI or agent-based workflows — required • Strong practical experience with RAG architectures — required • Experience with graphs or knowledge graph approaches — required • Strong understanding and hands-on experience with chunking and embedding strategies — required • Experience building and working with AI agents, tools, and skills — required • Experience with LLM or AI evaluation (evals) — required • Experience with Microsoft Fabric or comparable Azure data platforms — strongly preferred • Strong software engineering skills, ideally with Python • Experience integrating LLM applications with APIs, enterprise systems, and data sources • Experience taking AI prototypes into production • Strong understanding of LLM application architecture and modern Generative AI patterns • Experience in financial services, banking, lending, insurance, or related industries — nice to have • Experience with Azure-native data and AI services • Experience with AI observability, governance, and responsible AI • Experience with CI/CD and cloud-native application development • Experience with multi-agent architectures • Experience with semantic search and vector databases

🏖️ Benefits

• Certifications in AWS (we are AWS Partners), Databricks, and Snowflake • Access to AI learning paths • Study plans, courses, and additional certifications tailored to your role • Access to Udemy Business • English lessons • Travel opportunities to attend industry conferences and meet clients • Career development plans and mentorship programs • Special day rewards for birthdays, work anniversaries, and other personal milestones • Company-provided equipment • Flexible working options • Other benefits may vary according to your location in LATAM