Senior Applied AI Engineer, Enterprise AI
San Francisco, CA, New York, NY$220k - $300kFull-timePosted 5mo ago
About the role
Senior Applied AI Engineer role embedding inside enterprise customer environments to design, build, and deploy production-grade AI agents that address real business needs, with end-to-end ownership from solution definition to evaluation and iteration.
Responsibilities
- Embed directly with enterprise customers as part of a small deployment team, developing deep understanding of their business and workflows
- Define AI-driven solutions based on real business needs, not theoretical use cases
- Build and deploy production-grade agents tailored to specific customer use cases, owning end-to-end delivery
- Design and run evals to measure agent performance; iterate and hill-climb until results move
- Become a domain expert in your customer's vertical and use that expertise to build better AI over time
- Work closely with Product and Platform engineers on your team to ship cohesive, reliable solutions
- Establish engineering best practices, agent patterns, and reusable frameworks that help the team scale output without sacrificing quality
- Surface insights from deployments that inform Handshake's platform and product roadmap
Qualifications
- 5-6+ years of engineering experience, full-stack with strong backend depth
- Strong applied AI engineering experience and backend depth
- Real-world experience building and shipping AI applications in production, not just fine-tuning or prototyping
- Strong understanding of agent architectures, evals, and how to measure and systematically improve AI performance
- Comfort working directly with enterprise customers in ambiguous, high-stakes environments
- Strong systems thinking, you can zoom out to the business problem and zoom in to the technical solution without losing either thread
- High ownership mentality, you care about outcomes, not just outputs
- Strong communication skills, you'll be in the room with senior stakeholders regularly and need to earn their trust quickly
Skills
Required:Engineering leadership and ownershipFull-stack engineeringProduction AI systemsAgent architectures and evalsEnterprise customer engagement
Nice to have:Domain expertise development
Benefits
- Ownership: Equity in a fast-growing company
- Financial Wellness: 401(k) match, competitive compensation, financial coaching
- Family Support: Paid parental leave, fertility benefits, parental coaching
- Wellbeing: Medical, dental, and vision, mental health support, $500 wellness stipend
- Growth: $2,000 learning stipend, ongoing development
- Remote & Office: Internet, commuting, and free lunch/gym in our SF office
- Time Off: Flexible PTO, 15 holidays + 2 flex days
- Connection: Team outings & referral bonuses
Last updated Oct 1, 2026. Interested? Apply on the company site.
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