Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Applied AI based in the United States.
This role sits within a fast-moving, incubation-style AI team focused on expanding intelligent capabilities across a healthcare technology ecosystem. You will design and ship production-grade AI systems that directly impact how patients access critical medical equipment and supplies at home. The work spans applied machine learning, LLM-driven agentic workflows, and full-stack product engineering in a highly iterative environment. You will collaborate closely with product and engineering teams to identify high-impact use cases and bring AI solutions from concept to production. This is a hands-on role for someone who thrives at the intersection of AI research pragmatism and real-world software delivery. You will also help define best practices for evaluation, reliability, and observability of LLM-powered systems.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer, Applied AI based in the United States.
This role sits within a fast-moving, incubation-style AI team focused on expanding intelligent capabilities across a healthcare technology ecosystem. You will design and ship production-grade AI systems that directly impact how patients access critical medical equipment and supplies at home. The work spans applied machine learning, LLM-driven agentic workflows, and full-stack product engineering in a highly iterative environment. You will collaborate closely with product and engineering teams to identify high-impact use cases and bring AI solutions from concept to production. This is a hands-on role for someone who thrives at the intersection of AI research pragmatism and real-world software delivery. You will also help define best practices for evaluation, reliability, and observability of LLM-powered systems.
