Camber builds software to improve the quality and accessibility of healthcare. We streamline and replace manual work so clinicians can focus on what they do best: providing great care. For more details on our thesis, check out our write-up: What is Camber?
We’ve raised $50M in funding from phenomenal supporters at a16z, Craft Ventures, YCombinator, Manresa, and many others who are committed to improving the accessibility of care. For more information, take a look at: Announcing Camber
About our Culture:Our mission to change behavioral health starts with us and how we operate. We don’t want to just change behavioral health, we want to change the way startups operate. Here are a few tactical examples:
1) Improving accessibility and quality of healthcare is something we live and breathe. Everyone on Camber’s team cares deeply about helping clinicians and patients.
2) We have to have a sense of humor. Healthcare is so broken, it's depressing if you don't laugh with us.
About the role:As an AI Product Engineer at Camber, you’ll work on building AI-powered products and internal capabilities that improve how we operate and deliver value to customers. This role is centered on fast experimentation, rapid iteration, and owning problems end to end with freedom to build.
We’re looking for someone who is highly autonomous and excited to help shape our AI direction, define what we build, and establish how we build it. You’ll play a foundational role in determining how AI is applied across our products and internal workflows.
What you'll do:Rapidly prototype and ship AI-powered solutions to validate ideas and drive real impact
Own problems end-to-end from ambiguous idea to production system with minimal oversight
Build AI-powered products and tools that automate workflows, support decision making, and improve internal and customer-facing experiences
Operate across the stack including backend services, APIs, data pipelines, and lightweight product surfaces
Integrate AI capabilities such as LLMs into real workflows, ensuring they are reliable, observable, and cost-efficient
Run fast feedback loops by testing, measuring, and iterating using evaluation frameworks and real usage data
Develop reusable patterns and tooling that enable faster experimentation and iteration across the team
Experience: 3+ years of experience building production systems as a backend or full-stack engineer
Strong Python proficiency: comfortable building production systems and data workflows in Python
Highly autonomous: able to take loosely defined problems and independently drive them to outcomes
Strong experimentation and analytical approach: able to design experiments, construct evaluation frameworks using historical data, and iterate quickly based on results
Generalist builder: comfortable working across product engineering, data, and infrastructure, with a focus on shipping practical solutions rather than research or theory
Customer and product intuition: able to understand workflows and pain points to build useful systems
Curiosity: motivated to learn new tools, frameworks, and domains quickly, especially in a fast-evolving AI landscape
Experience integrating LLMs or AI capabilities into production systems
Familiarity with evaluation tools such as Arize Phoenix or Promptfoo
Experience building agent-based workflows using frameworks like LangGraph
Familiarity with orchestration tools such as Temporal
Exposure to AI observability and tracing standards such as OpenInference
Familiarity with cloud platforms such as AWS
Comprehensive Health Coverage: Medical, dental, and vision plans with nationwide coverage, including 24/7 virtual urgent care.
Mental Health Support: Weekly therapy reimbursement up to $100, so you can prioritize the care that works best for you.
Paid Parental Leave: Up to 12 weeks of fully paid time off for new parents (birth, adoption, or foster care).
Financial Wellness: 401K (traditional & Roth), HSA & FSA options, and monthly commuter benefits for NYC employees.
Time Off That Counts: We offer flexible PTO, meaning you’re trusted to take the time you need to recharge while balancing your responsibilities and team commitments.
Fitness Stipend: $100/month to use on fitness however you choose.
Hybrid Flexibility: In NYC? We work in the office 3–5x/week, with flexibility when life happens. Fridays are remote-friendly.
Camber is based in New York City, and we prioritize in-person and hybrid candidates. Please refer to the top of this page for this position's hiring location.
Building an inclusive culture is one of our core tenets as a company. We’re very aware of structural inequalities that exist, and recognize that underrepresented minorities are less likely to apply for a role if they don’t think they meet all of the requirements. If that’s you and you’re reading this, we’d like to encourage you to apply regardless — we’d love to get to know you and see if there’s a place for you here!
In addition, we take security seriously, and all of our employees contribute to uphold security requirements and maintain compliance with HIPAA security regulations.