You.com Logo

You.com

Senior AI Engineer

Posted 7 Days Ago
In-Office
San Francisco, CA, USA
250K-300K Annually
Senior level
In-Office
San Francisco, CA, USA
250K-300K Annually
Senior level
Build reference implementations, demos, and tooling for You.com�s AI search and retrieval APIs; contribute and maintain open-source projects; engage and support the developer community; reduce inference cost and improve model performance; represent the company at events and translate technical work to business stakeholders.
The summary above was generated by AI

About Us

At You.com, we are building the AI Search Infrastructure that powers modern AI systems. Our goal is to create the trusted knowledge layer that agents, applications, and enterprises rely on to retrieve real-time, accurate, and citation-backed information.

Our platform combines proprietary vertical indexes with LLM-optimized retrieval systems to power AI agents, applications, and enterprise workflows. We are solving hard problems across search, large language models, and large-scale infrastructure to make AI systems more reliable, transparent, and useful.

Our team includes engineers, researchers, product builders, and operators who care about solving meaningful problems and delivering real-world impact. Whether you are improving core infrastructure, shaping product experiences, or helping bring new AI capabilities to market, your work will help define how modern AI finds and uses knowledge.

About the role

You.com builds AI-powered search and research APIs for the agent era — the retrieval layer developers reach for when they're building agents, copilots, and AI-native products. This role sits at the seam between engineering and the developer community. You're a strong AI engineer who ships real things, and you're equally at home in an open-source repo, on a podcast, or on a conference panel.

We're looking for a builder developers trust, someone who can write a reference implementation one week and explain to a room of engineers (or a customer's CTO) why it matters the next.

What you'll do

  • Build reference implementations, demos, and tooling that show developers how to get real outcomes from You.com's APIs — improving agentic results, cutting inference cost and token usage, and getting strong performance out of smaller, cheaper models.
  • Contribute to the open-source AI community on You.com's behalf: ship and maintain projects, and land You.com into the agent frameworks and developer tools people are already using.
  • Be a credible technical voice — through code, writing, and talks — and represent You.com at hackathons, meetups, and panels. (We value this, but it isn't a weekly ask.)
  • Bring the developer's perspective back into the product. You stay close to what developers actually need and act on it quickly.
  • Translate between audiences: go deep on the technical how with engineers, and make the business why land with non-technical and executive stakeholders.

What we're looking for

  • AI engineering & systems design. You're a hands-on engineer fluent in the modern AI and agent stack. You make sound architecture decisions and can weigh domain-specific, enterprise requirements against how you actually build. You bring a public body of work — an active GitHub profile, open-source projects, or demos the community has found worth using.
  • Developer-community fluency. You understand developers because you are one. You can put yourself in another technical builder's shoes and know what will genuinely matter to them. You've contributed to open source and/or organized or taken part in hackathons, meetups, or talks.
  • Communication. You can go deep technically with engineers and clearly convey value to non-technical and C-level audiences. This is a true twofer — both registers, not one or the other.

Nice to have

  • Business acumen. You can show ROI. The things you build solve real business problems, and you can demonstrate the return to leaders — not just the cool factor.

Our salary bands are structured based on a combination of geographic tiers and internal leveling. Compensation is determined by multiple factors assessed during the interview process, with the final offer reflecting these considerations.

Salary Band
$250,000$300,000 USD
Company Perks:
  • Hubs in San Francisco and New York City offering regular in-person gatherings and co-working sessions

  • Flexible PTO with U.S. holidays observed and a week shutdown in December to rest and recharge*

  • A competitive health insurance plan covers 100% of the policyholder and 75% for dependents*

  • 12 weeks of paid parental leave in the US*

  • 401k program, 3% match - vested immediately!*

  • $500 work-from-home stipend to be used up to a year of your start date*

  • $600 technology stipend to support a portion of our hybrid/remote team's cell phone and internet expenses*
  • $1,200 per year Health & Wellness Allowance to support your personal goals*

  • The chance to collaborate with a team at the forefront of AI research

*Certain perks and benefits are limited to full-time employees only

You.com participates in E-Verify. We will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee’s Form I-9 to confirm work authorization. (English/Spanish: E-Verify Participation/Right to Work) We are also an inclusive, equitable, and accessible workplace. Please let us know if you require accommodation for any portion of the recruitment and hiring process.

Beware of recruiting scams: You.com will only contact you through official @You.com email addresses and will never ask for payment or sensitive personal information during the hiring process.

HQ

You.com San Francisco, California, USA Office

San Francisco, CA, United States, 94104

Similar Jobs

Yesterday
Hybrid
San Jose, CA, USA
251K-286K Annually
Senior level
251K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, observability). Partner cross-functionally, invent LLM optimization techniques, and contribute to technical vision and roadmap for foundational AI infrastructure.
Top Skills: Aws UltraclustersC#C++GoGoHugging FaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
Yesterday
Hybrid
San Jose, CA, USA
230K-286K Annually
Senior level
230K-286K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, build, deploy, and support of foundational AI systems including foundation model training, LLM inference, similarity search, guardrails, evaluation, governance, and observability. Optimize production LLM performance (cost, latency, throughput) and contribute to long-term technical vision.
Top Skills: Aws UltraclustersC#C++Go (Golang)HuggingfaceJavaLlm InferenceNemo GuardrailsPythonPyTorchScalaSimilarity SearchVectordbs
2 Days Ago
Remote or Hybrid
2 Locations
286K-392K Annually
Senior level
286K-392K Annually
Senior level
Fintech • Machine Learning • Payments • Software • Financial Services
Lead design, development, deployment, and support of large-scale AI systems (foundation model training, LLM inference, similarity search, guardrails, evaluation, observability). Optimize LLM performance and scalability, partner with cross-functional teams, and contribute technical vision and roadmap for foundational AI systems.
Top Skills: Aws UltraclustersC#C++GoHugging FaceJavaNemo GuardrailsPythonPyTorchScalaVectordbs

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