{"id":653380,"url":"https://alion.io/job/afterquery-software-engineer-platformapplied-ai-fullstack","title":"Software Engineer - Platform/Applied AI","company":{"id":668886,"name":"AfterQuery","domain":"afterquery.com","url":"https://alion.io/company/afterquery","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":88,"open_postings":12,"ghost_share":0,"stale_share":0.5,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-28T05:59:10Z"}},"role":"Backend","role_family":"Backend","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":260000,"max":290000,"currency":"USD","period":"year","gross":null,"usd_annual":290000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Anthropic","optional":false},{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"ElasticSearch","optional":false},{"name":"GCP","optional":false},{"name":"JavaScript","optional":false},{"name":"Next.js","optional":false},{"name":"OpenAI","optional":false},{"name":"Python","optional":false},{"name":"RabbitMQ","optional":false},{"name":"Redis","optional":false},{"name":"Human-in-the-Loop","optional":true},{"name":"LLM","optional":true},{"name":"React.js","optional":true}],"status":"live","first_seen_at":"2026-04-14T08:52:36Z","employer_posted_date":"2026-04-14","last_verified_at":"2026-10-28T13:45:00Z","board_verified":true,"closed_at":null,"days_open":197,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":196},"description":"About AfterQuery\nAfterQuery 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.\nOur 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.\nWhy Apply\nMassive 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.\nFounding Impact: You will own and architect core infrastructure systems that power our platform from the ground up.\nEquity & Growth: Competitive salary and meaningful equity. As we scale, you’ll have the opportunity to shape the engineering organization and lead major technical initiatives.\nStrong Team: Our founding team has experience from Citadel Securities, Meta, Google, Silver Lake, and Morgan Stanley - work alongside world-class engineers and researchers.\nOverview\nAs 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.\nResponsibilities\nBuild and scale complex data capturing workflows across web (Next.js) and desktop (Python)\n\nArchitect and optimize data pipelines that experience high throughput, with heavy loads\n\nCollaborate with the founding team to define product strategy and ship features fast.\n\nSet engineering best practices and lay the groundwork for future team growth.\n\nRequired Qualifications\nProficiency in JavaScript (Next.js) and Python, with demonstrated experience building full-stack web applications\n\nExperience with serverless architecture and cloud functions for implementing heavy data processing (GCP/AWS)\n\nStorage, caching & search: Hands-on with Redis (caching), Elasticsearch (indexing), and message queues (Kafka/RabbitMQ) to build scalable, low-latency pipelines.\n\nExperience getting your ideas into production (founder experience preferred)\n\nPreferred Qualifications\nBackground in AI research, LLM evaluations, or human-in-the-loop systems\n\nCompany Benefits (For Eligible Employees):\nHealth Insurance: Medical, Vision, Dental\n\n401(k) with Employer Match\n\nDaily Meals: Daily UberEats Stipend\n\nMonthly Wellness Stipend\n\nWe 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.\nWe 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. 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