As an Applied AI Engineer, you'll develop AI-first software for enterprise clients, contributing to a rapidly growing startup with a strong engineering team.
Alpharun is an applied AI company that helps leading enterprises hire and train their frontline teams. Our platform fully automates candidate assessments and ongoing performance monitoring, enabling companies to build high-performing teams at scale.
As an Applied AI Engineer, you'll join an extremely talented and hard-working engineering team to build best-in-class, AI-first software experiences for enterprise customers. You'll have broad exposure to AI technical and product challenges while contributing to the rapid growth of an early-stage startup. This is a demanding but rewarding role with a high level of autonomy and responsibility.
Why join:
- Team: We're a tight-knit, ambitious team working in-office 5 days a week in San Francisco. We're well-funded by exceptional investors and operators and are scaling quickly. Our founders, Paul and Henry Dornier, are twins and second-time founders that previously sold their first company before leading product, engineering, and marketing teams at Front.
- Rapid growth: We launched in December, and our customers have already used Alpharun to hire and train tens of thousands of employees in 20+ countries.
- Culture: We have an extremely high talent bar and expect a lot from everyone, because exceptional outcomes require exceptional commitment. But we also have a lot of fun — there's nothing more rewarding and fulfilling than building amazing products alongside an awesome team.
This role is intense but immensely rewarding — perfect for someone with ambition, a bias towards action, and who thrives on rapid learning and growth.
We’ll be most excited if you have:
- Experience building AI-first products and driving business outcomes.
- A track record of getting things done in roles with high levels of ambiguity and accountability.
- Extreme ambition and high expectations of yourself and the team you work with.
If you don’t perfectly meet every qualification but resonate deeply with our mission and ethos, we strongly encourage you to apply — we value aptitude and ambition above all.
We offer competitive compensation and meaningful equity. We believe every early team member will be a major contributor to our company’s long term success, and our equity compensation is designed to recognize this.
Alpharun San Francisco, California, USA Office
San Francisco, CA, United States
Similar Jobs
.png)
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Software • Generative AI
Build AI-powered features and products for clinical documentation and medical coding. Develop LLM-driven agentic systems, APIs, services, and production infrastructure across healthcare revenue cycle workflows. Create evaluation frameworks and experimentation loops using statistical and data-driven methods to ensure reliability, auditability, and alignment with coding guidelines and user feedback. Collaborate with product, design, machine learning, clinical, and revenue cycle experts to deliver high-impact SaaS solutions.
Top Skills:
Agentic Ai SystemsAPIsEdiFhirHl7Large Language Models (Llms)PythonSaaS
Artificial Intelligence • Software • Biotech • Pharmaceutical
Build and ship full-stack AI products for FDA regulatory workflows. Responsibilities include architecting scalable systems, ingesting and structuring heterogeneous regulatory data, maintaining data quality and governance, developing RAG and agent workflows, creating evaluation benchmarks, collecting human feedback, and collaborating with FDA experts. The role involves frontend and backend development, debugging, performance optimization, and owning features from concept through delivery.
Top Skills:
Ai Coding ToolsAPIsAWSFastapiGitLlmsMulti-Agent OrchestrationPostgresPythonRagReactSQLTypescript
Artificial Intelligence • Information Technology • Logistics • Software • 3PL: Third Party Logistics • Industrial • Manufacturing
Build and apply AI agents and frontier models across Traba’s staffing marketplace, automating worker vetting, matching, and fulfillment. Lead full-stack frontend and backend development, architect real-time matching and distributed systems, develop APIs, and own product surfaces end to end. Mentor engineers and partner with product, design, and the CTO on architecture and roadmap. The role requires shipping scalable applications across TypeScript, React, React Native, Node.js or Python, PostgreSQL, messaging systems, and AI integrations.
Top Skills:
Ai AgentsDistributed SystemsKafkaLlmsNode.jsPostgresPythonRabbitMQReactReact NativeTypescript
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
