supermove - Forward Deployed Engineer, AI
Requirements
• 3+ years of software engineering experience. You've built, shipped, and maintained production software. You're comfortable working in an existing codebase, debugging complex systems, and independently delivering features. • Strong engineering fundamentals. You're proficient in at least one modern programming language, comfortable with APIs, databases, integrations, and backend systems, and able to work across the stack when needed. • Experience building with AI. You've worked with LLM APIs, agents, tool calling, or AI-powered applications. You understand the challenges of making nondeterministic systems reliable, and you're comfortable working with prompts, evaluations, and agent workflows. • Product-minded problem solving. You don't just implement requirements. You understand the underlying problem, design practical solutions, and think about how your work can scale beyond a single customer. • Comfort working directly with customers. You can lead technical discovery, explain complex systems clearly, and translate ambiguous business requirements into working software. • Strong ownership and execution. You can manage competing priorities, work independently, and drive complex projects to completion. When something breaks, your instinct is to investigate and fix it. • Ability to operate across technical and business contexts. You're as comfortable discussing architecture with an engineer as you are explaining business impact to a CEO or COO. • Experience with voice AI, real-time systems, agent frameworks, or enterprise integrations is a plus. Experience in moving, logistics, or field services is helpful but not required.
Responsibilities
• Build and improve our AI agents. Write production code to extend our Voice Agent and Autopilot platforms. Improve agent capabilities, tool integrations, workflow execution, reliability, and performance. • Own enterprise AI deployments. Work directly with customers to understand their operations, design solutions, and take agents from initial configuration through production rollout and optimization. • Design and implement AI workflows. Translate real business processes into agent behavior, tools, integrations, and human handoffs. Determine what can be handled through configuration versus what requires new engineering. • Debug and optimize agents in production. Analyze call transcripts, execution traces, tool calls, and customer data. Identify failure modes, improve prompts and code, build evaluations, and measure whether your changes actually work. • Build integrations and technical solutions. Connect Supermove's agents with customer systems, APIs, and third-party platforms. Work across the stack to solve deployment problems and extend product capabilities. • Turn customer needs into reusable product features. Identify patterns across deployments and build improvements that benefit more than one customer. Work closely with product and engineering to make our platform more powerful and easier to deploy. • Drive deployments and customer outcomes. Own technical delivery, coordinate with implementation managers and other teams, lead onsite working sessions, and ensure customers achieve measurable business results. • Work directly with customer leadership. Explain technical decisions, understand business requirements, manage tradeoffs, and build trust with everyone from executives to frontline operators.
Benefits
• We're moving from AI that answers questions to AI that actually runs business operations. • Our largest customers are where that transition gets proven. They operate across hundreds of locations, with complex workflows, legacy systems, and thousands of employees. Building AI that works reliably in these environments will shape what our entire platform becomes. • As a Forward Deployed Engineer, you'll be on the front lines of that work. You'll see firsthand where agents succeed and fail, write the code to make them better, and turn what you learn into product capabilities that scale across our customers. • You'll work directly with our CEO, engineering, and product leadership, with substantial ownership over both customer deployments and the evolution of our AI platform.
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