Were looking for a Backend AI Engineer to own and build our companys agentic AI architecture. This role sits at the intersection of backend engineering and production-grade AI systems. Youll design, build, and scale the backend that powers our AI creators, enabling intelligent, reliable, and observable agentic workflows at scale.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.
Youll work on orchestrating multi-step AI workflows that involve LLMs, tools, and decision logic, and ensure they operate reliably under high load and real-world usage. A key part of the role is designing systems that can handle non-deterministic AI behavior, recover gracefully from failures, and continue to perform as usage and complexity grow. Youll also be responsible for making architectural decisions that support scalability, low latency, and long-term maintainability of our AI platform.
Requirements:
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
Strong background as a Backend Engineer – at least 5 years of experience
2-3 years of hands-on experience working with AI / LLM-based systems running in production
Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems
Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic
Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes.
What Will Make You Stand Out?
Bachelor's degree in Computer Science or a related field (or equivalent professional experience)
Strong background as a Backend Engineer – at least 5 years of experience
2-3 years of hands-on experience working with AI / LLM-based systems running in production
Proficiency in Python and/or JavaScript, and experience building backend services, APIs, and scalable distributed systems
Practical experience designing and operating agentic AI workflows, including orchestration of multi-step flows involving LLMs, tools, and decision logic
Strong understanding of how LLM-based systems behave in real-world, high-scale environments, including non-deterministic behavior and failure modes.
This position is open to all candidates.
