Founding AI-Native Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

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Rockstar

WebsiteLinkedInAll Job Openings

1 - 10 employees

🎯 Recruiter

👥 HR Tech

🤖 Artificial Intelligence

Recruitment • HR Tech • Artificial Intelligence

Rockstar is a full-service recruitment company that leverages a blend of human expertise and artificial intelligence to help businesses hire better and faster at a lower cost. They offer a comprehensive recruitment service for less than $1,500 per role by providing access to a large talent database, fast and efficient candidate reviews, and human screening. Their proprietary AI enables the review of thousands of applications to quickly match candidates to job descriptions, while custom screening calls are conducted by recruiters in the US, UK, or Australia. Rockstar supports hiring across a wide range of professional roles, including sales, marketing, strategy, product, business operations, analytics, data science, software development, infrastructure, finance, and accounting. This flexible approach allows companies to meet strong candidates without long-term commitments, making it a cost-effective solution for teams of all sizes.

📋 Description

• Designing and shipping the AI agents that run patient case lifecycle — application intake, document extraction, data validation, coverage verification, patient communication, missing-info follow-up — including the evaluation harness, confidence thresholds, and human-in-the-loop boundaries • PHI-aware data architecture: de-identification pipeline that strips identifiers before inference, the tokenization layer that maps results back, and the audit trail that logs every model call • Integrations with healthcare systems of record and dependent services – as well as the orchestration layer that coordinates across them • The production bar: on-call, incident response, rollback strategy, and strict uptime SLAs • Working directly with operations, IT, and clinical teams during discovery, UAT, and go-live — you'll be in the room, not behind a PM

🎯 Requirements

• 5+ years shipping production software, with meaningful time owning backend systems that mattered when they broke • Deep expertise in at least one modern backend language (Python, TypeScript, Kotlin, Go, or similar) and the judgment to know when the choice matters and when it doesn't - they are still finalizing their stack, and you'll help decide • Comfort across the full backend picture: relational databases, cloud infrastructure (AWS preferred), containerized services, API design, and the operational discipline that comes with running regulated software • A real sense for UX — you care how the thing feels to use, not just whether it works. You've sat with users, sweated the details, and pushed back on designs that looked good but didn't hold up in the workflow. Formal design training isn't required, but familiarity with Figma, design language, or having partnered closely with designers is a plus • You've built something real with LLMs — orchestration, retrieval, tool use, structured output, evals, handling model failure modes. You have informed opinions about when to reach for an agent vs. a pipeline vs. a plain function, and you can defend them • Track record of taking an ambiguous problem, shaping it into an architecture, and shipping it • You treat model behavior as something to test, measure, and govern. You've thought about what "evals" means for a system where being 95% right isn't good enough • Bonus: healthcare or other regulated-industry experience; prior early-stage or founding-engineer time; Salesforce ecosystem; eligibility engines, document extraction, health compliance or case-management workflows