Backend Engineer developing high-performance backend systems for AI applications. Collaborating with product and data teams to build scalable architectures for diverse use cases.
Responsibilities
Build extensible backend systems that support flexible configurations for different customers and content types.
Support infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.
Advance tooling that enables fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.
Follow best practices for ease of deployment, integration, and testing—both for internal teams and external partners.
Collaborate closely with product, data, and policy teams to translate nuanced safety needs into scalable, maintainable software systems.
Requirements
Experience and track record in backend systems or infrastructure engineering.
Evidence of impact of your contributions to team and company
Software engineering skills in Python, Go, Java, or equivalent.
Experience working with scalable APIs, backend systems and data pipelines.
Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).
Experience with cloud-native infrastructure (e.g., AWS, Lambda, Kubernetes, CI/CD pipelines).
Passion to learn, stretch and innovate
Benefits
Competitive compensation, comprehensive benefits, and hybrid in-office policy.
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