Design, build, and operate generative AI solutions grounded in authoritative source documentation for healthcare clients.
Build document ingestion pipelines, implement guardrails, and develop evaluation frameworks to ensure accuracy and traceability.
Deploy solutions within AWS services and federal security controls while collaborating with project managers, data engineers, and client stakeholders.
Magpie Health Analytics provides secure, trustworthy generative AI solutions that help healthcare clients deliver faster, more consistent access to authoritative program guidance. They emphasize collaboration with cross-functional teams and responsible AI oversight in a culture focused on security and innovation.
Build, configure, test, and deploy AI assistants, intelligent workflows, automations, and low-code applications using platforms like Copilot Studio and Power Platform.
Integrate solutions with Microsoft 365, SharePoint, Teams, Salesforce, and enterprise ERP systems to deliver production-ready outcomes.
Troubleshoot and continuously improve deployed solutions using usage data and user feedback to ensure measurable business value.
This partner company delivers enterprise AI-powered solutions, intelligent workflows, and low-code applications for global clients. They foster a remote-first culture focused on professional development, structured onboarding, and ongoing support.
Build and deliver full-stack and AI-powered solutions using Python, AWS, Azure, and Claude.
Work directly with business users to understand needs and iterate on collaborative solutions.
Implement RAG and agent-based capabilities with testing and evaluation to ensure quality.
The partner company focuses on delivering practical AI-powered solutions to clients across industries. It fosters a collaborative culture centered on innovation, learning, mentorship, diversity, and inclusion.
Design, implement, and deploy ML/AI models end-to-end, including data pipelines, training workflows, and production optimization.
Collaborate with product, engineering, and data teams to align AI work with business goals and translate technical tradeoffs.
Contribute to AI architecture decisions and raise engineering practices, using AI-forward coding tools like Claude and Cursor.
Robots & Pencils designs AI systems for a human world, pairing engineering with creativity to ship production-ready AI in 30 to 45 days. The company values craft, ownership, and direct feedback, with teams averaging fifteen-plus years of experience.
Own the hardest agentic escalations, resolving complex AI deployments and leading cross-functional resolution efforts.
Provide consulting-grade technical architecture for agentic solutions including multi-agent orchestration and governance.
Elevate team technical excellence by setting standards, mentoring engineers, and codifying reusable playbooks.
ServiceNow is the AI control tower for business reinvention, providing an AI platform that brings together any AI, data, and workflow. The company helps 85% of the Fortune 500 work smarter, faster, and better, with an AI-native culture where technology and talent are unstoppable.
Apply if you participated in RecSys; this expresses interest in ML/AI opportunities at Spotify.
Our team will follow up to explore roles based on your background, interests, and experience.
We are an equal opportunity employer committed to inclusivity and accessibility.
Spotify is a global audio streaming service that personalizes music, podcasts, and audiobooks for hundreds of millions of listeners. As a large company, we foster inclusivity and diversity, encouraging unique perspectives to revolutionize the way the world listens.