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Build and ship full-stack web apps while integrating AI features like LLM-powered tools and RAG systems using modern stacks and cloud-native DevOps.
Build and scale AI-powered integration and migration tools for a global bank, designing reusable components, APIs, and agentic workflows using LLMs, RAG, and cloud services.
Design and build AI agents and RAG pipelines using Azure OpenAI and Azure AI services to solve complex industrial and manufacturing problems.
Summary We are seeking a senior Sr. Dynamics 365 Engineer to design and deliver full‑stack solutions that extend and integrate Dynamics 365 (CE and/or F&O) with the Power Platform. This role focuses on building…
Role : The Manager AI Products is the primary builder within the AI Hub, responsible for turning architectural designs and product specifications into working, production-deployed AI systems. This role spans the full…
Build and scale predictive models and LLM-powered AI agents on Azure/Fabric to drive commercial decisions in LATAM, using Python, RAG, and MLOps.
Build and own a full-stack app with Angular UI, .NET APIs, SQL Server, and automated tests, while integrating agentic AI workflows using third-party LLMs and orchestration frameworks.
Build and deploy full-stack AI applications and agentic workflows for enterprise clients, turning ambiguous problems into production systems with measurable impact.
Lead AI strategy and architecture for a Brazilian organization, designing scalable Generative AI solutions with Microsoft Azure AI tools, establishing MLOps/LLMOps practices, and guiding teams on LLMs, RAG, and AI agents.
Build and deploy GenAI-enabled solutions for government clients using Microsoft Azure AI tools, Python/TypeScript, and RAG workflows while collaborating with senior stakeholders to drive measurable business impact.
Leads a team building and operating an MLOps platform and multi-agent environment, overseeing the full ML lifecycle, AI agent integration, and scalable infrastructure for a large corporation.
Build and deploy AI systems, including LLM-based agents and retrieval workflows, using Python and cloud-native stacks to power healthcare products and enterprise solutions.
Designs enterprise-scale AI architectures for healthcare, including generative AI apps, agentic systems, and LLM-powered workflows, while ensuring security, compliance, and cloud-native integration.
Build end-to-end agentic AI workflows using React front-ends, C#/.NET orchestration, and Azure OpenAI, shipping resilient multi-agent systems with rigorous evaluations.
Build and deploy LLM-powered AI solutions, including RAG pipelines and NLP applications, using Python, LangChain, and cloud platforms like Azure/AWS/GCP.
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Lead the design and development of enterprise AI solutions using Python, RAG, Agentic AI, and LLMs, while engineering enterprise data pipelines and integrating AI into production.
Build and deploy enterprise AI solutions—LLMs, RAG, and agentic systems—using Python and Azure to improve customer outcomes and operational efficiency in a regulated financial services environment.
Lead the design and deployment of enterprise-grade generative AI systems for Citi’s operations, building LLM pipelines, RAG systems, and multi-agent workflows in Python on major cloud platforms.
Build and optimize AI applications using LLMs, RAG, and agent frameworks on a central AI platform, integrating them into production for logistics use cases.
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