Senior Applied AI Engineer, Handshake AI Enterprise

Handshake Technologies, Inc.

Job Overview

Location

San Francisco, CA

Job Type

Full-time

Full Job Description

📋 Description

• Embed directly within enterprise customer environments as part of a small, expert deployment team to develop deep understanding of their business workflows and operational bottlenecks
• Define AI-driven solutions based on real customer business needs, avoiding theoretical or generic use cases
• Build, deploy, and own end-to-end delivery of production-grade AI agents tailored to specific customer use cases
• Design and execute performance evaluations to measure AI agent effectiveness, iterating systematically until measurable business outcomes improve
• Become a domain expert in your customer’s vertical industry and leverage that expertise to continuously refine and improve AI solutions over time
• Collaborate closely with Product and Platform engineers to ship cohesive, reliable AI systems that integrate seamlessly with existing customer infrastructure
• Establish and propagate engineering best practices, reusable agent patterns, and scalable frameworks that enhance team output without compromising quality
• Surface critical insights from live deployments to directly inform Handshake AI’s platform architecture and product roadmap
• Work with frontier AI lab researchers and enterprise partners to access high-quality, proprietary data used to train and evaluate next-generation AI models
• Operate in ambiguous, high-stakes environments where AI deployment directly impacts enterprise operations and decision-making
• Maintain full ownership of technical outcomes, prioritizing measurable impact over output metrics like lines of code or model iterations
• Communicate effectively with senior enterprise stakeholders to build trust, align on goals, and demonstrate value through clear, data-driven results
• Apply systems thinking to bridge high-level business problems with low-level technical implementations, maintaining clarity across both dimensions
• Contribute to the development of evaluation infrastructure and AI quality measurement tooling used across Handshake AI’s enterprise engagements
• Adapt quickly to evolving customer requirements and technological constraints while ensuring deployed solutions remain production-ready and secure
• Drive adoption of AI agents by demonstrating tangible improvements in efficiency, accuracy, or cost reduction within customer workflows
• Maintain direct involvement in all stages of the AI lifecycle—from problem definition and agent design to deployment, monitoring, and iterative improvement
• Work 5 days per week in the San Francisco office to enable close collaboration with customers and internal teams

🎯 Requirements

• 5-6+ years of engineering experience with strong applied AI 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, able to bridge high-level business problems with low-level technical solutions
• High ownership mentality, focused on outcomes rather than outputs

🏖️ Benefits

• Equity in a fast-growing company
• 401(k) match, competitive compensation, financial coaching
• Paid parental leave, fertility benefits, parental coaching
• Medical, dental, and vision coverage, mental health support, $500 wellness stipend
• $2,000 learning stipend for ongoing development
• Internet, commuting, and free lunch/gym access in the SF office
• Flexible PTO, 15 holidays + 2 flex days
• Team outings and referral bonuses

Skills & Technologies

Data Science

Senior

Remote

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Handshake Technologies, Inc.

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About Handshake Technologies, Inc.

Handshake Technologies provides a cloud-based career-services platform that connects university students, recent graduates, and employers. The software enables institutions to manage job postings, career fairs, on-campus interviews, and employer relations while giving students tools to discover internships and entry-level roles and giving employers access to early-career talent across a network of partner colleges and universities.

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