Software Engineer
Build and launch new ad formats end-to-end, from prototyping to product-market fit. Requires a Master's degree and 3+ years of experience with TypeScript, React, Postgres, Docker/Kubernetes, and web technologies.
AI Product Engineer
Builds and ships AI-powered products and tools integrating LLMs into workflows, owning end-to-end from prototype to production. Requires 3+ years backend/full-stack experience with strong Python skills and autonomous problem-solving in a fast-paced environment.
190k – 230kNew York, NYFullstack EngineeringOnsite3+ YOE
About the role
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
What we're looking for
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
Nice to have:
- 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
Skills
PythonLLMsAPIsData PipelinesAWSLangGraphTemporalArize PhoenixPromptfooOpeninference
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