AfterQuery
Software Engineer - Platform/Applied AI (Fullstack)
About this role
AfterQuery, a fast-growing applied AI research lab, seeks a fullstack software engineer to build data infrastructure powering foundation model development. You'll own end-to-end projects designing scalable data pipelines and web/desktop applications as an early team member.
What you'll do
- Build and scale data capturing workflows using Next.js and Python across web and desktop platforms
- Design and optimize high-throughput data pipelines handling heavy loads
- Collaborate with founding team on product strategy and rapid feature deployment
- Establish engineering best practices and prepare infrastructure for team expansion
What they're looking for
- JavaScript/Next.js
- Python
- Serverless architecture (GCP/AWS)
- Redis, Elasticsearch, Kafka/RabbitMQ
- Full-stack web application development
- Data pipeline design
- AI/LLM evaluation (preferred)
- Production shipping experience
Benefits
- $180-220K base salary
- Dataset commission bonus (4% gross profits, $100-400K)
- 200-300K equity vesting over 4 years
- Comprehensive health, dental, vision insurance
- 401K with match
- UberEats and ride share stipend, Equinox membership
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AfterQuery
AfterQuery is an applied AI research lab that builds data infrastructure and evaluation frameworks powering foundation model development for frontier AI labs. The company is hiring fullstack software engineers, infrastructure/security specialists, and interns to design scalable data pipelines, develop datasets and reward signals, and create systems that directly influence how advanced AI models are trained.
View all jobs at AfterQueryLikely interview questions
- Walk us through a full-stack project where you built both frontend (Next.js) and backend (Python) components. How did you handle the data flow between them?
- Describe your experience architecting data pipelines at scale. What were the bottlenecks you encountered, and how did you optimize for throughput and latency?