Applied AI Engineer
Content + Source + Freshness • 14 Feb 2026 • 95% confidence
Offer value
High value based on competitive salary and a vibrant startup culture focused on innovation and revenue optimization.
- Competitive compensation with equity options
- Start-up culture with high impact potential
- Direct partnership with experienced engineers
- Relocation necessary to San Francisco
Pros
- Competitive salary paired with equity options
- Dynamic, fast-moving work environment
- Direct collaboration with experienced industry leaders
Cons
- Emphasis on operational excellence may lead to higher workload
- Must relocate to San Francisco, limiting candidate pool
- Startup environment may come with instability risks
Who it's for
Mid to Senior Level • On-site
Good fit
- Engineers looking to make significant contributions in a startup
- Individuals with a focus on operational efficiency
- Professionals eager to work on innovative sales technology
Not recommended for
- Entry-level candidates not ready for startup challenges
- Individuals seeking remote roles exclusively
- Those unfamiliar with Python or AI model deployment
Motivation fit
Key skills
About the job
Location
San Francisco
Employment Type
Full time
Location Type
On-site
Department
Engineering
About Us
At Rox, we believe in empowering people to do their best work.
Our platform supercharges sellers with autonomous revenue agents to do the manual work so they can focus on what they do best: selling. Just as coding agents 10x’d engineering, revenue agents 10x customer work.
We are reimagining the revenue stack by building the world’s first revenue operating system, from the application layer to the system of context. With Rox, humans are evolving to orchestrators while agents manage the end-to-end customer lifecycle.
Rox powers Global 2000 leaders in banking, hardware, construction, and sovereign AI, while serving dominant AI winners like Ramp and Cognition.
Underlying all of this success is a unwavering, shared belief in the mission, with an unreasonable commitment of doing whatever it takes to make it a reality.
The Team
Nothing is possible without the world-class team, assembled to redefine how businesses operate.
Members on our team have:
Founded and exited successful companies
Held the highest positions at Google, AWS, Apple, Confluent, and New Relic
Won IMO and IOI gold medals
Published field-defining papers
We’re backed by the best, having raised $50M from Sequoia (Alfred Lin), General Catalyst (Hemant Taneja), Google Ventures, Elad Gil, and Chris Ré.
Core Principles
Taste: Craft beautiful experiences.
No matter how small, we strive to make sure every detail is right. We care deeply about every interaction, both in terms of whether it helps the seller get the job done, but also how the product makes them feel. We get a visceral feeling when something is off and stop at nothing to make sure we make it right. We never settle, continuously exploring ways to delight sellers.
Obsession: Commit unreasonably.
In all aspects of our craft, we commit. We not only are immediately reactive to customers’ requests but are proactive about driving value even before they ask. We are also obsessive about always learning and honing our craft, improving ourselves and product every single day.
Action: Get it done.
Talking is easy but the difference comes from the execution. We lean heavily towards making thoughtful yet fast decisions and delivering immediately. We play in a field where trust is paramount. We earn the trust and right to empower the best sellers by forging a history of over-delivering on the promise at record speed.
Your Role
As an Applied AI Engineer at Rox, you’ll be at the center of building intelligent, agentic workflows that redefine how the world’s top revenue teams operate.
You’ll work across the full lifecycle of AI-driven product development, from training and evaluating models to integrating them into user-facing systems. You’ll collaborate closely with engineers, designers, and customers to iterate quickly, ship impactful features, and continuously improve the intelligence and reliability of our agent swarm.
You’ll be responsible for designing multi-step workflows, applying cutting-edge LLM research in production, and driving the experimentation and evaluation loop for AI-powered features, all in a fast-moving, product-focused environment.
Responsibilities
High Ownership: Ability to do E2E design and implement scalable systems independently, define/understand requirements and write clean code
Customers First: Engage closely with customers to understand requests, join customer calls and ship out solutions working closely with product and AI engineers
Operations: Be obsessed about operations and strive to ensure that there is minimal to no downtime or impact to the customer
Bias for action: Ability to work and ship in a fast paced environment with weekly deliverables; has founder-energy to work with as minimal direction as possible
Be Curious: Curious to learn, work hard and have a growth mindset
Qualifications
Strong engineering and problem-solving ability
Experience with LLMs and in applying frontier AI models to real-world problems
Ability to move fast: you’re scrappy, curious and thrive when learning on the fly
Proficiency in Python
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Be located in or willing to relocate to San Francisco
Benefits
Competitive pay with considerable equity upside
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Health Insurance
Apply
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