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Senior Backend and Platform Engineer

Seerrecruit — United States · Posted ~3 hours ago

Senior Full-time Hybrid

Skills

Backend Engineering Platform Engineering Scalable Data Infrastructure System Architecture LLM Infrastructure Data Engineering Backend Systems Data Infrastructure LLMs AI Agents

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Summary ✨ AI‑Generated

An early engineering hire will design and build scalable backend, platform, and data infrastructure for an AI-focused organization. You will own architecture, develop systems that enable large language models to work with complex real-world datasets, and make high-impact technical decisions in a fast-moving environment. The role is suited to a seasoned engineer with experience building serious data infrastructure at scale.

Highlights

Join an early-stage, well-funded environment with substantial ownership over architecture and product direction. The role offers the chance to build scalable backend and data infrastructure from the ground up and work closely with advanced AI systems.

Description

Senior / Staff Backend & Platform Engineer — Early-stage AI startup (San Francisco / Bay Area · hybrid) The company A small, well-funded AI infrastructure startup in San Francisco, backed by some of the best investors in the Valley. We build the core platform and data infrastructure underneath an AI product that's used right across whole organisations and it's already in the hands of real customers. You'd join as one of the early engineers, with unusually direct ownership over what gets built and how. What you'll do Design, build and ship scalable backend and platform systems from the ground upBuild the data and agent infrastructure that lets LLMs reason over large, messy, real-world datasetsOwn the architectureMove fast in an early-stage environment where you're trusted to make the calls Who we're looking for We're after a seasoned platform engineer, someone who's built serious data infrastructure at scale and wants to do the defining early work at a company this size. 3+ years building backend and data-platform systems, including time at companies operating at genuinely massive data scaleHas led a data or ML platform, owning the architecture and long-term direction, not just implementing ticketsDeep data-infrastructure chops: data architecture, storage and execution engines, lakehouse-style migrations, and internal tooling/DSLs that make ML experimentation faster and cheaperStrong in Python and cloud infra; fluent with databases, data modelling and API designAn entrepreneurial streakBonus: hands-on with LLMs, agentic frameworks or RAG Why it's worth a look Founding-level ownership and influence at a genuinely early stageCompetitive salary and meaningful equityFull health cover (medical, dental, vision), wellness/fitness membership, transport stipend, meals on office daysFlexible time off; SF-based with hybrid flexibility Sound like you? I'm running this search on behalf of the company (name shared once we're talking). Send me a message with your CV or GitHub and I'll come straight back to you.