Staff Backend AI Engineer
New York City, NY - USA
Job Summary
This company is THE AI-powered system that unites healthcare by connecting patients providers and payers on one intelligent care orchestration platform. Theyre ending healthcare fragmentation and ensuring patients get the right care at the right time.
They just closed one of the top 10 largest seed rounds in health tech history - $52M at a $400M valuation from top investors. Theyre at $4.5M revenue and targeting $10M this year with major clients like Blue Cross Blue Shield.
This is a Staff Backend AI Engineer role building production AI systems that automate complex clinical workflows. Youll own critical Agentic infrastructure with real customer dependency and work end-to-end on systems that directly impact patient care.
We are looking for a Staff Backend AI Engineer with 5 years of experience to help us meet the demands of our rapidly growing commercial pipeline. The ideal candidate is a strong individual contributor with a co-founder mindset capable of balancing engineering excellence with the speed required in a startup environment. You will be instrumental in designing building and operating the critical backend AI systems that power our intelligent care orchestration platform.
What will you be doing
Design develop and operate the backend systems that power Arbiters agent-driven care orchestration workflows including service orchestration and inference pipelines.
Take end-to-end ownership of critical systems: you will build it deploy it watch it and iterate on it.
Ship and maintain production-grade AI systems with real customer dependency and strict reliability latency and correctness requirements.
Contribute to the architectural design of Arbiters AI-driven platform emphasizing scalability and clean integrations.
Participate in an on-call rotation with the entire engineering team to lead incident resolution when production issues arise.
- This company aims to end fragmentation in healthcare by bridging insight with action for payers and providers.
- Recently closed a $52 million seed round aiming to grow revenue from $4.5 million to over $10 million this year.
- Hiring for a Staff Backend AI Engineer focused on strong individual contributions not managerial tasks.
- Must have experience with Python at scale production AI systems and infrastructure ownership.
- Looking for candidates with both big tech and startup experience emphasizing adaptability and technical excellence.
- Co-founder mindset is essential; candidates should be able to handle varied tasks and drive business outcomes.
- Three rounds: hiring manager screen competency review and a final interview with senior leaders.
- Technical screenings involve identifying code bugs and discussing architecture.
- Salary range is $190K to $250K with a 15% bonus and competitive equity.
- Remote-first policy open to candidates globally visa sponsorship available but with a preference for transfer-ready candidates.
- Strong proficiency in Python and experience with high-scale systems is mandatory.
- Preferred background includes successful startup experience or impactful roles in major tech companies.
- The current commercial pipeline exceeds engineering capacity necessitating urgent hires to execute contracts.
- Multiple agencies are involved in the hiring process to meet immediate staffing needs.
- The team operates with a small agile structure allowing engineers to own projects end-to-end.
- Opportunities for future managerial roles exist but current focus is on strengthening the IC track.
- Initial screenings focus on coding proficiency and ability to handle real-world scenarios.
- Take-home assignments assess familiarity with modern tools and Agentic AI developments.
- Recruiters are vetted based on past success and platform ratings; multiple recruiters may work on the same role.
- Emphasis on maintaining a competitive and dynamic recruitment process to attract top talent.
- Production AI Systems experience (Agentic AI) / sub agents COTS Frontier
- Run RAG
- Machine Learning experience
- Production Systems
- Engineering Mindset
- Python at scale is a MUST
- Infrastructure ownership
- Be able to deliver
Experience & Tenure: 5 years of hands-on experience building and operating production backend systems preferred with some recent experience in AI-powered services and automation workflows in high-availability environments.
Core Backend Expertise: Proven experience designing and operating complex backend systems including a deep understanding of concurrency scalability reliability and distributed systems patterns.
Technical Stack: Strong experience building and maintaining large-scale Python codebases and hands-on experience with async or event-driven architectures.
Production AI Focus: Experience building and shipping AI-powered systems beyond prototypes or internal demos.
Seen good engineering at scale (big company well-funded startup) and optionally worn multiple hats in a fast-paced startup environment
Computer Science degree from a top-tier or Top 30 university.
Expert-level proficiency in Python at scale
Infrastructure ownership: builds deploys monitors and iterates on end-to-end systems (on call rotation is part of the role)
Agentic development fluency - orchestrating sub-agents when to use off-the-shelf vs. frontier models
Co-founder mindset - ships fast understands trade-offs drives business outcomes
Required Skills:
Ideally experience with the following: Production AI Systems experience (Agentic AI) / sub agents COTS Frontier Run RAG Machine Learning experience Production Systems Engineering Mindset Python at scale is a MUST Infrastructure ownership Be able to deliver 5 years of experience backend engineering focused on building and operating production AI systems. Work experience Experience & Tenure: 5 years of hands-on experience building and operating production backend systems preferred with some recent experience in AI-powered services and automation workflows in high-availability environments. Core Backend Expertise: Proven experience designing and operating complex backend systems including a deep understanding of concurrency scalability reliability and distributed systems patterns. Technical Stack: Strong experience building and maintaining large-scale Python codebases and hands-on experience with async or event-driven architectures. Production AI Focus: Experience building and shipping AI-powered systems beyond prototypes or internal demos. Updated Seen good engineering at scale (big company well-funded startup) and optionally worn multiple hats in a fast-paced startup environment Updated Education Computer Science degree from a top-tier or Top 30 university. Updated Hard skills Expert-level proficiency in Python at scale Infrastructure ownership: builds deploys monitors and iterates on end-to-end systems (on call rotation is part of the role) Updated Agentic development fluency - orchestrating sub-agents when to use off-the-shelf vs. frontier models Updated Soft skills Co-founder mindset - ships fast understands trade-offs drives business outcomes