AI Engineer - Backend

Responsibilities

• Lead the design and implementation of scalable, robust backend systems to support AI agents and observability tools.
• Design and implement high-performance APIs to enable seamless communication between backend systems and frontend interfaces.
• Ensure efficient data storage, retrieval, and processing, leveraging technologies like PostgreSQL, Redis, or others.
• Collaborate with AI engineers to integrate AI-driven insights and solutions into backend systems, and take ownership of API authentication and authorization frameworks.
• Monitor, optimize, and scale backend services to handle high volumes of data while ensuring low-latency performance.
• Partner with frontend engineers, AI researchers, and other teams to ensure a seamless, high-performance user experience.
• Provide technical leadership and mentorship to junior engineers, helping to grow a strong backend engineering team.

Requirements

• 3+ years of software engineering experience, with a strong focus on backend development and full-stack systems.
• Proven ability to lead in fast-paced startup environments, with limited resources, shifting priorities, and minimal structure.
• Strong experience with Python and web frameworks such as FastAPI.
• Experience deploying applications on AWS, working with ECS or Kubernetes, Postgres for data storage, and S3 for large-scale object storage.
• Familiarity with observability and monitoring tools to ensure the system is running smoothly and efficiently.
• Nice to Have: Familiarity with Python-based ecosystems, experience working with Agentic AI systems or in the observability domain, background in large-scale, complex, data-driven applications, familiarity with AI or LLM-powered products.

Benefits

We offer competitive compensation, startup equity, health insurance, and additional benefits. The U.S. base salary range for this full-time, in-person role in New York is $150,000–$300,000, plus equity and benefits. Our salary ranges are based on location, level, and role. Individual compensation is determined by experience, skills, and job-related knowledge.