Software Engineer - Platform/Applied AI
Company websiteafterquery.com (Afterquery, opens in new tab)
Base salary $260K to $290K
Employer-published annual base salary, USD. Advertised base range in San Francisco, CA
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSan Francisco, CA
- WorkplaceOn-site
- Status at last checkSource accepting applications when checked
- Last checked (2 h ago) · observed since
About this job
About AfterQuery
AfterQuery is an applied research lab curating data solutions for foundation model development. We serve every frontier AI lab with the mission of delivering the best data to power the best models. In doing so, we can make expertise that once took a lifetime to build available to anyone who needs it.
Our customers are the ones building the foundation models themselves and our work sits directly in the loop of how those systems improve. This is a rare opportunity to join a company at a defining moment in AI. Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation. We're based in San Francisco and backed by leading investors including Altos Ventures, BoxGroup, and Y Combinator and angels from Google DeepMind, OpenAI, Anthropic, Meta Superintelligence Labs, and Microsoft AI.
Why Apply
Massive Opportunity: Forbes reported that we could be YC's fastest unicorn, reportedly raising at a $3.2 billion valuation, and we're not slowing down.
Founding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.
Equity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.
Strong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley — work alongside world-class engineers and researchers.
Overview
As one of our core engineers, you’ll be critical in creating data infrastructure that will be shaping the future development of frontier models. You will be one of our first hires, and will get a lot of responsibility, owning entire projects end-to-end – meaning you can see your impact instantly.
Responsibilities
Build and scale complex data capturing workflows across web (Next.js) and desktop (Python)
Architect and optimize data pipelines that experience high throughput, with heavy loads
Collaborate with the founding team to define product strategy and ship features fast.
Set engineering best practices and lay the groundwork for future team growth.
Required Qualifications
Proficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications
Experience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)
Storage, caching & search: Hands‑on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low‑latency pipelines.
Experience getting your ideas into production (founder experience preferred)
Preferred Qualifications
Background in AI research, LLM evaluations, or human‑in‑the‑loop systems
Company Benefits (For Eligible Employees):
Health Insurance: Medical, Vision, Dental
401(k) with Employer Match
Daily Meals: Daily UberEats Stipend
Monthly Wellness Stipend
We are an equal opportunity employer committed to providing a workplace free from discrimination and harassment. Employment decisions are made without regard to legally protected characteristics under applicable federal, state, or local law.
We comply with applicable pay transparency requirements and provide compensation ranges based on the position, qualifications, experience, and other relevant factors. Reasonable accommodations are available to qualified individuals with disabilities and for sincerely held religious beliefs, as required by law. This job description is intended to describe the general nature and level of work performed and is not an exhaustive list of all duties, responsibilities, qualifications, or working conditions associated with the position. We reserve the right to modify this job description as business needs change.
Source: Afterquery on Ashby · View original posting (opens in new tab)
This listingSoftware Engineer - Platform/Applied AI$260K to $290K
Machine Learning Engineer, Data Privacy & Anonymization$260K to $290K
Software Engineer - RL Environments$260K to $290K
Software Engineer - Platform Infrastructure$250K to $350K
Software Engineer - Marketplace$250K to $300K
Corporate Counsel$225K to $250K
Senior Software Engineer - Security/Infrastructure$200K to $350K
Chart as a table
| Role | Published base |
|---|---|
| Software Engineer - Platform/Applied AI (this listing) | $260K - $290K |
| Machine Learning Engineer, Data Privacy & Anonymization | $260K - $290K |
| Software Engineer - RL Environments | $260K - $290K |
| Software Engineer - Platform Infrastructure | $250K - $350K |
| Software Engineer - Marketplace | $250K - $300K |
| Corporate Counsel | $225K - $250K |
| Senior Software Engineer - Security/Infrastructure | $200K - $350K |
Observed changes
- Began meeting the published-salary criteria
- First observed on the employer's board
- Observed since
- Employer-stated posting date
- 2026-04-14
Where this pay comes from
Location as the employer wrote it: San Francisco
USD 260,000 – 290,000 · 1 YEAR · Salary
- Method
- Structured pay field published by the employer
- Checked
- Rule set
- us-base-v2
The employer's job board publishes this pay as a dedicated data field. We read the field directly; no interpretation was needed.
What we verified
- The pay figures come from the employer's own listing, quoted exactly above.
- The pay is an annual base salary in US dollars with a minimum of at least $100,000.
- The role was publicly listed on the employer's job board when last checked.
We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.
