Build and maintain backend systems and distributed cloud infrastructure for an AI-driven tax-prep platform: vision-language model pipelines, document data extraction, tax software integrations, and client-facing features to improve speed, accuracy, and reliability.
Magnetic is hiring a Founding Software Engineer to join our small team. You’ll be responsible for building and maintaining the backend systems that power our AI-driven tax prep platform, including model pipelines, data extraction logic, and integrations with tax software, as well as improving our client-facing touchpoints. You’ll work closely with engineering, product, and tax operations to ship features that directly improve speed, accuracy, and reliability for our customers.
What You'll Build
- Vision-Language pipelines that process and extract structured data from unstructured client tax documents, relying on AI models, deterministic rules, and human-in-the-loop corrections.
- Systems to test and improve extraction accuracy on complex tax forms, handwritten notes, brokerage statements, and K-1s.
- Distributed cloud infrastructure to process thousands of client files concurrently across multiple firms and tax seasons.
- Integrations with major tax software systems, file portals, and document management tools.
- Features to improve our own client-facing surface area (intake, output artifacts, review process)
In line with our goal of creating a small, talent-dense team that genuinely enjoys working together, we believe in paying well and doing so transparently. When possible, we benchmark all of our roles using Pave (pave.com) and tie our compensation to be in line with milestones we aspire to, not where we currently are. This means that although we are a seed-stage company, we benchmark against data from companies that are Series A+ ($10M - $20M raised) located in the SF Bay area, so as to set compensation to:
- Salary - 60th percentile of Series A cos
- Equity - 75th percentile of Series A cos (as measured by value, not %age)
The base pay range for this role is $180,000 – $220,000 per year.
Similar Jobs
Artificial Intelligence • Big Data • Consumer Web • eCommerce
Own the company’s revenue infrastructure, including usage-based API billing, metering, quotas, spend caps, tiered plans, invoicing, affiliate commission ingestion, attribution, reconciliation, and ledger integrity. Build and operate the billing spine using TypeScript, Node.js, and PostgreSQL, ensuring idempotent processing, accurate financial reporting, and reliable cutover from free to paid API access. Make architecture decisions, verify agent-produced code, instrument failures, and protect production revenue correctness.
Top Skills:
Node.jsPostgresTypescript
Artificial Intelligence • Big Data • Consumer Web • eCommerce
Own the end-to-end commerce data supply chain, including third-party ingestion, schema-drift detection, entity resolution, deduplication, freshness SLAs, and retirement of stale records. Design and operate an LLM validation fleet with evaluation harnesses, golden sets, escalation paths, and defensible unit economics. Build production data systems at scale, establish machine-checkable quality metrics, and work independently with the founder in a fast-moving, in-person environment.
Top Skills:
AirflowDagsterLlm PipelinesPythonSQLTemporal
Healthtech • Social Impact • Telehealth
Build Sailor Health’s foundational data platform from scratch. Responsibilities include developing Snowflake and dbt pipelines integrating EHR, CRM, and communications data; creating data-powered web applications; automating clinical and billing workflows with Python; analyzing therapy transcripts and patient data using AI and machine learning; tracking clinical outcomes; and designing scalable data architectures in collaboration with clinicians, engineers, founders, and other teams.
Top Skills:
DbtFhirGraphQLPythonRest ApisSnowflakeSQL
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

.png)
.png)