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The Junior AI Software Engineer will build and maintain AI-powered applications and services, focusing on LLMs, RAG, and agentic workflows. The role requires 2-4 years of software engineering experience and proficiency in Python, JavaScript/TypeScript, or Java within an Azure cloud environment.
The Junior AI Software Engineer will build and maintain AI-powered applications, integrating LLMs and agentic workflows into scalable backend and full-stack systems. The role focuses on leveraging cloud technologies, primarily Azure, to develop modern AI solutions.
The Junior AI Software Engineer will build AI-powered applications and services while contributing to backend and full-stack development. The role requires proficiency in Python, JavaScript/TypeScript, or Java, along with experience in cloud platforms and CI/CD.
Develops software for neurotechnology, AI, robotics, and immersive health tech research, collaborating with interdisciplinary teams at a university institute.
The Forward Deployed Engineer works directly with cross-functional teams to rapidly design, prototype, and deploy AI-driven solutions to solve critical business problems.
The Conversational AI Designer creates user-centered AI and contact center experiences by translating business requirements into conversation flows, wireframes, and prototypes. The role focuses on designing agent desktop interactions and escalation journeys for AI-driven systems.
The Senior AI Platform Engineer will drive AI platform enablement across the enterprise, collaborating with security, legal, and compliance teams to establish platform controls and support user adoption.
AI Automation Engineer focusing on designing and building AI-driven workflow automation using Microsoft Copilot and Copilot Studio, with responsibilities for technical architecture, build quality, and mentoring junior engineers.
The Lead AI Engineer will design and deploy production-grade LLM and agentic AI systems using Python, RAG, and cloud infrastructure. The role requires extensive experience in full-stack development and advanced AI techniques like knowledge graphs and embeddings.
Design and ship a real-time voice copilot that transcribes vet-client calls, extracts fields, and fills the scheduling system via a Chrome extension, while meeting strict latency, accuracy, and cost targets.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Design and lead the build of scalable data platforms and AI-ready architectures using Microsoft Fabric, Azure, and modern data patterns to turn raw data into business intelligence.
The AI Lead Architect will design and oversee the implementation of enterprise-grade AI solutions using Microsoft Copilot Studio, RAG, and the Power Platform. This role focuses on defining technical architecture, governance, and security standards for AI agents within a large financial services environment.
Senior Product Manager leads AI and analytics initiatives for Motorola Solutions' Avigilon platform, focusing on computer vision, LLMs, and generative AI to enhance physical security systems. Owns product vision, strategy, and execution for AI-driven features, bridging research and engineering to deploy scalable, high-value solutions for real-world security workflows.
The Senior Product Manager for the Data Platform will lead the roadmap for matching, activity capture, and CRM integrations while collaborating with enterprise IT teams. This role focuses on improving data quality and platform reliability within an AI-driven sales platform.
The Staff Applied AI/ML Scientist will design and scale AI solutions to drive business outcomes across lululemon's retail ecosystem. The role involves providing technical leadership, managing complex multi-model deployments, and collaborating with cross-functional teams to ensure responsible and scalable AI implementation.
Lead end-to-end delivery of AI initiatives, coordinating engineering, product, and business teams to scale AI/ML solutions from ideation to production while managing governance and cross-functional dependencies.
Builds and deploys end-to-end AI/ML models (forecasting, classification, LLMs) for clients, owning data, methodology, and production pipelines while mentoring junior scientists.
The Principal Data Analyst drives data-driven decision-making for Autodesk’s platform, defining success metrics, leading experiments, and building AI-assisted workflows to extract insights from large datasets. Focuses on product analytics, SQL/Python engineering, and scalable data products for cross-functional teams.
The Lead Data Scientist will architect and develop AI models for digital dentistry, focusing on 3D computer vision, generative AI, and anatomical reconstruction. This hands-on leadership role involves transitioning R&D into production-ready systems and defining the technical roadmap for the company's AI platform.
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