Raydar Logo

Raydar

Founding Engineer

Posted Yesterday
Be an Early Applicant
In-Office
San Francisco, CA, USA
200K-250K Annually
Entry level
In-Office
San Francisco, CA, USA
200K-250K Annually
Entry level
Own the end-to-end development and operation of production AI systems, including architecture, deployment, reliability, and iteration based on live usage data. Collaborate directly with founders to shape technical strategy, define success measures, and make independent technical decisions. Build multi-step AI workflows at scale while working across the full stack. The role is onsite in San Francisco five days per week and offers a $200,000–$250,000 base salary plus equity.
The summary above was generated by AI

About the company

Our client is a healthcare technology company.

The role

Raydar is recruiting for this role on behalf of our client. Own engineering work end to end on production AI systems, from technical design through deployment and ongoing iteration. Set your own success measures, make key technical decisions, and work in person with the leadership team. This role suits a generalist who has taken full ownership of outcomes rather than executing assigned tasks.

What you'll do

- Design and build AI-driven systems that run multi-step workflows reliably at scale.

- Own systems end to end, from architecture through production operation.

- Shape technical strategy with the founders and define how success is measured.

- Iterate quickly using feedback drawn from live usage data.

- Work across the full stack, choosing whatever tools suit the problem.


Requirements

What we're looking for

- Proven experience designing and running production systems end to end.

- A track record of owning outcomes and making independent decisions.

- Comfort working across the full stack, without a narrow specialty.

- A computer science or engineering degree.

Bonus points

- Prior founder experience, or senior engineering experience gained before AI coding tools became common.

- Experience at early-stage startups or health technology companies.

- Experience building and deploying LLM or agent systems in production.

- Experience with automated phone calling systems.

- Background from a leading engineering university.

- Experience as a student-athlete.


Benefits

Compensation and benefits

- Base salary: USD 200,000 to 250,000 per year

- Equity

- Relocation assistance, considered case by case

Location and work model

- San Francisco, CA, United States

- On-site, 5 days a week

- Full-time

Similar Jobs

Yesterday
In-Office
San Francisco, CA, USA
150K-300K Annually
Mid level
150K-300K Annually
Mid level
Professional Services • Consulting
Build core backend infrastructure, long-running systems, internal tools, and user-facing product features as an early engineer. The role includes system design, architectural trade-offs, product decisions, user experience improvements, rapid collaboration with leadership, and occasional customer conversations. Candidates should have strong infrastructure and full-stack experience, a history of shipping dependable production software at scale, and one to seven years of professional experience.
Yesterday
In-Office
San Francisco, CA, USA
150K-300K Annually
Senior level
150K-300K Annually
Senior level
Professional Services • Consulting
Build simulated software environments, evaluation harnesses, grading systems, benchmarks, labeled datasets, and test suites for AI systems. Review interaction logs to identify failure patterns, create reusable evaluation materials, and ensure metrics reflect real-world performance without being gamed. Collaborate with founders on data and training agreements while owning technical problems from diagnosis through delivery.
Top Skills: Artificial IntelligenceMachine Learning
Yesterday
In-Office
San Francisco, CA, USA
200K-375K Annually
Entry level
200K-375K Annually
Entry level
Software
Own a zero-to-one AI product and infrastructure for autonomous enterprise workflows in SAP environments. Build secure connectors, agentic runtimes, developer tooling, code analysis and planning systems. Design self-checking and verification workflows, orchestrate retrieval-augmented generation, deploy low-latency inference with observability, and productionize prompts, retrieval, and fine-tuning. The role involves direct customer projects, technical decision-making, and shaping the company’s engineering culture and roadmap.
Top Skills: Agentic AiFine-TuningLanggraphLow-Latency Inference ServingPrompt PipelinesRetrieval-Augmented GenerationSAPToken-Level Observability

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

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account