AI Product Engineer

Join Camber as an AI Product Engineer, where you'll build AI-powered products and internal capabilities that enhance our operations and customer value. This role emphasizes fast experimentation, rapid iteration, and end-to-end problem ownership. You'll have the autonomy to shape our AI direction, define what we build, and establish how we build it. Your responsibilities will include rapidly prototyping and shipping AI-powered solutions, integrating AI capabilities into workflows, and developing reusable patterns and tooling for faster experimentation.

• 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.
• Generalist builder: comfortable working across product engineering, data, and infrastructure, with a focus on shipping practical solutions rather than research or theory
• Highly autonomous: able to take loosely defined problems and independently drive them to outcomes
• 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
• Strong experimentation and analytical approach: able to design experiments, construct evaluation frameworks using historical data, and iterate quickly based on results
• Strong Python proficiency: comfortable building production systems and data workflows in Python
• Experience: 3+ years of experience building production systems as a backend or full-stack engineer
• Exposure to AI observability and tracing standards such as OpenInference
• Familiarity with orchestration tools such as Temporal
• Familiarity with evaluation tools such as Arize Phoenix or Promptfoo
• Experience building agent-based workflows using frameworks like LangGraph
• Experience integrating LLMs or AI capabilities into production systems
• Familiarity with cloud platforms such as AWS
• 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!