Backend Engineer helping build a robust backend architecture that supports LLMs. Critical role collaborating with AI engineers to accelerate product development and implementation of AI systems.
Responsibilities
Design and build extensible backend systems that support flexible configurations for different customers and content types.
Develop infrastructure that interfaces cleanly with LLMs—enabling prompt engineering, context injection, and modular evaluation workflows.
Build tooling and platforms that enable fast iteration by AI engineers and analysts, including declarative pipelines, parameterized jobs, and reproducible experiments.
Prioritize 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
3+ years of experience in backend systems or infrastructure engineering.
Strong software engineering skills in Python, Go, Java, or equivalent.
Experience designing scalable APIs, backend systems and data pipelines.
Familiarity with LLM-based systems (e.g., prompt management, context formatting, batch inference, prompt-tuning workflows).
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