Senior Staff Engineer

Worldwide Salaried Open

Superloop is a small, focused team inside Superside building AI-powered systems that understand a brand’s identity and history, then deliver that context wherever creative work happens. Today we’re shipping tools for context-powered briefing and scoping; next up are persistent brand memory, instant quoting, and first-draft generation, all built with a practical, production mindset.

We’re hiring a very senior hands-on engineer to be the leading individual contributor for Superloop. This is not a people-management role. You’ll write production code, own key architectural decisions, and mentor engineers while collaborating closely with Product and Design. If you thrive in fast-moving environments, enjoy solving complex technical challenges, and want to shape how brands scale creative work with AI, this is your chance.

What you'll do

Own the architecture for capturing, storing, and serving brand context at scale.

Build the platform: services, data models, indexing/search, APIs, and integrations.

Deliver LLM features the right way: RAG, embedding pipelines, evaluation harnesses, guardrails, and observability.

Prototype quickly, productionize what works, and kill what doesn’t.

Partner with Product and Design to scope features and validate solutions with users.

Lead by example: code reviews, technical RFCs, pairing, and mentoring.

Document decisions clearly (ADRs, design docs) to keep alignment across the team.

Contribute to integrations with Superside systems and customer tools.

What you’ll bring

8+ years building and scaling backend production systems in TypeScript/Node and/or Python (JVM/Spring Boot is a plus).

Proven 0 to 1 track record, taking systems from prototype to scaled product.

Expertise in schema design, indexing, caching, vector stores, and query optimization.

Practical LLM/GenAI delivery experience (RAG, orchestration, evaluation, safety).Strong API design skills (REST/GraphQL, event-driven patterns, messaging).Clear product sense and the ability to explain technical trade-offs to non-technical partners.

Ownership mindset: bias for action, comfort with ambiguity, and focus on outcomes.

Experience with knowledge management, search, CMS/DAM, or enterprise integrations.

Familiarity with MCPs, agent frameworks, LangChain/LlamaIndex, or similar tooling.

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Senior Staff Engineer

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