Design, build, and ship production-grade AI agent features (PM Agent, Execution Agent, External Onboarding Agent) that automate real implementation work.
Lead design partner engagements to develop custom agent workflows, iterating based on customer feedback to productize reusable components.
Contribute to the MCP server and platform layer, ensuring reliable retrieval, evals, and tool integrations across the full AI stack.
TaskRay is the leader in post-sale work management in the Salesforce ecosystem, helping companies ensure flawless customer experiences post-sale. The company has a culture centered on Connection, Integrity, Hunger, and Thrive, with a small team that values high performance and innovation.
Lead complex AI engineering workstreams across multiple business areas and stakeholder groups.
Design and build AI-powered applications using LLMs, agents, and modern architectures.
Establish best practices for prompt engineering, API integrations, and code quality.
The partner company focuses on designing and delivering advanced AI solutions that help organizations transform business processes and create measurable value. It offers a collaborative and inclusive culture with opportunities for career growth and international mobility.
Design and build core architecture for AI systems spanning multiple product areas, ensuring coherence and reuse.
Set the technical bar for the org in evaluation frameworks, testing philosophy, CI/CD for model behavior, and shared infrastructure.
Take direct ownership of the hardest, most ambiguous technical problems and build solutions end-to-end.
Twin Health empowers people to prevent and reverse chronic metabolic diseases using AI Digital Twin technology. The company is rapidly scaling across the U.S. and globally with over $100 million raised, and has been recognized as an innovator and top workplace.
Ship AI-powered, data-driven features and experiences grounded in PlayOn’s data.
Build, maintain, and improve APIs and backend services using C# .NET, Python, SQL, AWS, and Snowflake.
Design and evolve data schemas and APIs that make sports data accessible to both application code and LLM-driven features.
MaxPreps is part of PlayOn, which powers high school sports through GoFan, NFHS Network, and MaxPreps, providing ticketing, streaming, and more. Backed by KKR, PlayOn is a growth-stage company with a culture of accountability, collaboration, growth, and fairness.
Lead end-to-end AI project delivery, ensuring governance, stakeholder communication, and reliable execution.
Design and build robust RAG systems, agentic frameworks, and LLM-powered solutions for production environments.
Mentor junior engineers and contribute to proposals, solution design, and new business initiatives.
Blend is a premier AI services provider that co-creates meaningful impact for clients through data science, AI, technology, and people. With a mission to fuel bold visions, the company aligns human expertise with artificial intelligence, fostering innovation and value for its clients.
Design, build, and operate AI systems that solve real business problems across Finom, from prototype to production.
Own AI systems end-to-end including problem framing, architecture, implementation, evaluation, deployment, monitoring, and iteration.
Partner with solution managers, domain teams, and engineers to integrate AI into real workflows and deliver production-grade AI capabilities.
Finom is a European tech startup developing an all-in-one financial B2B solution integrating banking, accounting, and invoicing. With over $346 million in total funding, they are expanding across key EU markets and maintain a start-up culture focused on innovation and employee empowerment.
Research and develop a platform utilizing cutting-edge AI agents for generative AI and machine learning solutions.
Design, implement, and optimize end-to-end machine learning pipelines, including LLMs, prompt engineering, and agentic AI.
Collaborate with cross-functional teams to deliver enterprise-grade AI architectures in financial, healthcare, or insurance industries.
The company operates in the technology, information, and media sector, focusing on software development. It is a mid-sized organization with a remote-first culture, seeking a Senior GenAI/Agentic AI Engineer to develop cutting-edge AI agents.
Design and ship AI agent systems end to end, from experiments to production, owning data access layer and retrieval strategy
Build and own the evaluation framework from scratch, including golden datasets and regression harnesses
Set the technical direction for AI at Kota and raise the bar on engineering practice
Kota is reimagining insurance and retirement benefits for the modern workforce. Founded in 2022, we have raised more than 20M EUR and our team is spread across the world.
Own the technical vision and implementation of AI capabilities for MRO's healthcare products, including RAG pipelines and LLM integrations.
Architect and evolve production AI systems with human-in-the-loop feedback and model quality frameworks.
Collaborate with product, data engineering, and engineering teams to translate complex healthcare workflows into scalable, accurate, and compliant AI solutions.
MRO is a healthcare software company that builds AI-powered solutions for healthcare registry management. They are a full-time, remote-first organization with a focus on compliance and quality.