Forward Deployed Engineer

Beam AI

. Own AI deployments end-to-end, from understanding customer requirements and mapping workflows through solution design, implementation, testing, and production deployment .

Posted 9/15/2026full-timeBerlin • GermanyJuniorMid-LevelWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI deployment, including prompt engineering, API integration, and workflow optimization. Strong project management and communication skills are essential for managing client expectations and delivering solutions effectively.

Highest-signal resume keywords

AI Deployment ManagementPrompt Engineering ExpertiseAPI Integration ExperienceProject Management SkillsClient-Facing Technical Role

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Prompt EngineeringAPI KnowledgeWorkflow DecompositionAutomation DesignTechnical Solution ImplementationTesting and OptimizationIntegration ManagementAnalytical ThinkingProcess-Driven ApproachBusiness Workflow Analysis

Soft Skills

Communication SkillsProject ManagementClient Relationship ManagementStakeholder CommunicationProblem-Solving

Tools & Technologies

Beam’s Agent OSAPI Integration ToolsProject Management Software

Industry Keywords

AI/MLAutomationClient-Facing RoleStartup EnvironmentTechnical Consulting

About the role

Key responsibilities & impact

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 business processes, identify high-value automation opportunities, and translate 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 using APIs and client-side technical teams
Manage delivery across multiple stakeholders, keeping projects on track and communicating with technical teams and executive stakeholders
Partner 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 to improve the platform, workflows, and best practices
Act as a technical partner to customers, advising on effective AI automation approaches
Complete a case study involving a realistic automation challenge, workflow analysis, extraction or agent prompt design, project planning, and presentation

Requirements

What you’ll need

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
Ability to run delivery timelines, manage client expectations, and explain technical concepts clearly to engineers and executives
Demonstrated prompt engineering expertise, including systematically writing, testing, and optimizing prompts in production or near-production settings
Solid API knowledge and integration experience
Comfort scoping and coordinating API-based integrations with external systems
Analytical, process-driven thinking
Ability to break messy business workflows into structured components and design an automation approach
Background in AI/ML or hands-on experience applying AI to business workflows
Experience working in a fast-paced startup environment

Benefits

Comp & perks

High trust, high standards, and a team driven by curiosity, ownership, and long-term thinking
Autonomy while aligning on outcomes
Feedback and continuous improvement
Fast-paced, experimentation-focused culture
High-impact work and opportunities for ownership