About Beam
Beam AI builds self-learning AI agents and an operating system where intelligence grows through autonomous discovery. We transform enterprises from AI-curious to AI-native organizations with automation that delivers results today and learns to improve itself over time.
Join us in shaping a future where AI continuously discovers, adapts, and makes work more meaningful.
About the Role
As a Forward Deployment Engineer , you’ll work directly with enterprise customers to turn complex business processes into reliable, AI-powered automations.
You’ll own deployments from initial discovery through production. That means understanding how a customer operates, breaking down complex workflows, designing and configuring AI agents, engineering prompts, coordinating integrations, and iterating on systems once they are live.
This is a deeply hands-on role. You’ll spend your time moving between customer conversations, workflow design, prompt engineering, technical implementation, debugging, and collaboration with product and engineering. You’ll need to be comfortable getting into the details, and figuring out how to make AI systems work reliably in real-world environments.
What You’ll Do
Own AI deployments end-to-end , from understanding customer requirements and mapping workflows through solution design, implementation, testing, and production deployment.
Work directly with customers to understand their business processes, identify high-value automation opportunities, and translate those problems into practical AI agent solutions.
Design and build agentic workflows using Beam’s Agent OS, including workflow decomposition, agent configuration, prompt engineering, testing, and optimization.
Build and manage integrations with customer systems, working with APIs and client-side technical teams to connect agents into existing workflows.
Manage delivery across multiple stakeholders , keeping projects on track while communicating clearly with both technical teams and executive stakeholders.
Partner closely with product, engineering, and ML teams to surface platform gaps, scope improvements, and turn customer needs into product capabilities.
Bring customer insights back to Beam , using real deployment experience to improve our platform, workflows, and best practices.
Act as a technical partner to customers , helping them understand where AI agents can create leverage and advising them on effective approaches to automation.
Requirements
2-3 years in a client-facing technical role such as Forward Deployed Engineer, Implementation Consultant, Deployment Engineer, Customer Engineer, or similar
Strong project management and communication skills. You can run delivery timelines, manage client expectations, and explain technical concepts clearly to both engineers and executives
Demonstrated prompt engineering expertise. You've systematically written, tested, and optimized prompts in production or near-production settings
Solid API knowledge and integration experience. You're comfortable scoping and coordinating API-based integrations with external systems
Analytical, process-driven thinking. You can take a messy business workflow, break it into structured components, and design an automation approach
Nice to Have
Background in AI/ML or hands-on experience applying AI to business workflows.
Experience working in a fast-paced startup environment.
How We Hire
Our process includes a case study where you’ll work through a realistic automation challenge. You’ll be asked to think through a business workflow, design an extraction or agent prompt, build a project plan, and present your approach.
Benefits
At Beam, we're building an environment where ambitious people can do their best work, with clarity, purpose, and room to grow. We're thoughtful about what we build, how we work, and who we hire. The problems we're solving are real. The systems we're building are complex. And the people here care deeply—about craft, about speed, and about doing work that…