AI - Forward Deployment Engineer

Required Qualifications

• Solution Architecture Experience You have designed and delivered end-to-end technical solutions for enterprise customers in a solutions architect, field engineer, or equivalent role. You think in systems and you own the architecture through to production.
• AI Infrastructure Depth Deep familiarity with AI inference infrastructure, serving frameworks, and the systems that surround them. You understand how models are deployed, how serving stacks are built, and where they break under real workloads.
• Agentic Systems Knowledge You have worked with agentic frameworks and you understand the architectural patterns that make agent-based systems reliable at scale. You can design solutions that use ai&’s agentic platform to solve real customer problems.
• Enterprise Customer Fluency You have worked with demanding enterprise customers and you know how to earn the trust of senior technical stakeholders. You communicate with precision, handle ambiguity well, and push back constructively when needed.
• Performance & Benchmarking Experience designing and running technical benchmarks that demonstrate platform performance against real workloads. You know how to set up a POC that answers the right questions.
• Full-Stack Technical Range Comfortable across APIs, backend infrastructure, cloud environments, and ML systems. You can diagnose problems at any layer and you do not need to hand off to understand what is happening.
• Relevant Tooling Strong command of Python. Familiarity with inference frameworks, agentic libraries, REST APIs, and cloud deployment environments.
• Great Team Spirit A mission-driven approach to engineering, valuing clear communication, hands-on execution, and collective success over individual silos.