Software Engineer

Acceler8 Talent; San Francisco (CA); On-site; USD 260,000 - 290,000; Full time

Job summary

Acceler8 Talent partners with a fast-growing AI company building expert reasoning and data infrastructure used by frontier AI labs to improve models. The role offers high ownership and the chance to shape core platform infrastructure from the ground up.

You'll architect high-throughput data pipelines, design Python-based backend systems, and own projects end‑to‑end from architecture to deployment, collaborating directly with the founding team in a fast-paced, low-process environment.

Qualifications

• Strong backend or infrastructure engineering experience.
• Experience shipping production systems.
• Top CS background preferred.
• Experience with AI infrastructure valued.

Responsibilities

• Architect and scale high-throughput data pipelines.
• Build data-capture workflows across web and desktop.
• Design backend and platform infrastructure in Python.
• Work with distributed systems, queues, caching and search infrastructure.
• Build production systems across cloud environments.
• Own projects end-to-end from architecture to deployment.
• Collaborate with founders to define technical direction and ship quickly.

Skills

Backend engineering

Python

Distributed systems

Data pipelines

Cloud infrastructure

Ownership / end-to-end delivery

Education

Bachelor's degree in Computer Science or related field

Tools

AWS

GCP

Job description

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.