Software Engineer

Acceler8 Talent; San Francisco (CA); Hybrid; USD 260.000 - 290.000; Vollzeit

Zusammenfassung

Acceler8 Talent is seeking a Software Engineer – Platform / Applied AI in San Francisco to build core data infrastructure for frontier AI labs. You will own end-to-end architecture, ship critical systems, and work directly with the founding team to define technical direction.

The role emphasizes high ownership, scalable Python backend, and cloud infrastructure in a fast-moving startup environment with equity and significant upside.

Qualifikationen

• Experience in backend, platform or infrastructure engineering.
• Strong Python experience, ideally full-stack capability.
• Experience building scalable production systems or high-throughput data infrastructure.
• Strong cloud and distributed systems fundamentals.
• Evidence of owning and shipping substantial systems to production.
• High agency and comfort in fast-moving, low-process environments.
• Exceptional academic and technical pedigree; top CS backgrounds preferred.
• Experience in AI infrastructure, LLM evaluation, or applied AI is highly valuable.

Aufgaben

• Architecting and scaling high-throughput data pipelines.
• Building complex data-capture workflows across web and desktop.
• Designing backend and platform infrastructure in Python.
• Working with distributed systems, queues, caching and search infrastructure.
• Building production systems across cloud environments.
• Owning projects end-to-end from architecture through deployment.
• Working directly with the founding team to define technical direction and ship quickly.

Kenntnisse

Backend engineering

Platform engineering

Python

Distributed systems

Cloud infrastructure

Production systems

Data pipelines

Ownership and shipping

Ausbildung

Top CS background

Tools

Kubernetes

Redis

Kafka

Jobbeschreibung

Software Engineer – Platform / Applied AI

Onsite, San Francisco

I’m working with a fast-growing AI company building the expert reasoning and data infrastructure used by frontier AI labs to improve their models.

They capture the step-by-step reasoning, judgment and decision-making of verified domain experts and turn it into high-quality training data, evaluation environments, agent trajectories and RL infrastructure.

The company has scaled at an exceptional pace; reportedly becoming YC's fastest unicorn ever after raising at a $3.2B valuation, around 10x its previous valuation in just five months. It is backed by leading venture investors and already generates significant revenue while operating with a lean, high-caliber engineering team.

This is a high-ownership role for someone who wants to build core platform infrastructure from the ground up in a fast-moving environment.

You’ll work on:

• Architecting and scaling high-throughput data pipelines
• Building complex data-capture workflows across web and desktop
• Designing backend and platform infrastructure in Python
• Working with distributed systems, queues, caching and search infrastructure
• Building production systems across cloud environments
• Owning projects end-to-end from architecture through deployment
• Working directly with the founding team to define technical direction and ship quickly

Requirements:

• Candidates from highly selective startups, quantitative engineering environments or similarly demanding technical teams are especially relevant
• Strong backend, platform or infrastructure engineering experience
• Strong Python experience, ideally with some full-stack capability
• Experience building scalable production systems or high-throughput data infrastructure
• Strong cloud and distributed systems fundamentals
• Evidence of personally owning and shipping substantial systems into production
• High agency and comfort operating in a fast-moving, low-process environment
• Exceptional academic and technical pedigree. The hiring bar is very high, with a strong preference for top computer science backgrounds
• Experience in AI infrastructure, LLM evaluation, human-in-the-loop systems or applied AI is highly valuable

Package: $260K-$290K base + meaningful equity + $200K-$400K bonus.