Forward Deployed Engineer

About the role

Your role, should you choose to join us, will be a Forward Deployed Engineer on our founding team.

This is where the rubber meets the road. You'll be the bridge between our cutting-edge AI agent technology and the real-world systems that power America's freight industry. You'll work directly with enterprise customers to design, build, and deploy custom integrations that bring our AI agents to life in their day-to-day operations.

You're a good fit if you're the type of person that is known by your peers to move mountains and make progress, no matter the circumstances. You thrive on customer interaction, love solving complex technical puzzles, and get energized by seeing your code make an immediate impact on billion-dollar businesses.

Responsibilities

• Run discovery sessions with freight brokers, carriers, and 3PL IT teams to nail down pain points, data sources, and success metrics
• Design end-to-end solutions - map data flows, select the right models, and create integration architectures that survive contact with legacy TMS/ERP systems
• Build & ship rapidly - write clean code (Python/TypeScript), stand up APIs, webhooks, and ETL pipelines that seamlessly connect Vooma agents to customer systems
• Iterate fast - release small, validate in production, tighten feedback loops, and eliminate ineffective features early
• Own testing and rollout - craft comprehensive test suites, run UAT with operations teams, squash edge-case bugs, and drive go-live success
• Coach customers - document workflows, train users, and create playbooks that ensure solutions stick after handoff
• Project-manage engagements - set realistic timelines, surface risks early, coordinate cross-functional stakeholders, and keep executives informed
• Act as technical first responder during the critical first 90 days in production - triage issues, patch integrations, and optimize models based on real traffic

Requirements

• Full-stack builder mindset - comfortable moving between backend APIs and frontend interfaces
• Integration expertise - fluent in REST/GraphQL, webhooks, message queues, and authentication schemes (OAuth2, SAML, etc.)
• LLM/agent experience - hands-on with prompt engineering, vector search, and evaluation metrics; can translate business logic into agent workflows
• Customer empathy + communication skills - can seamlessly switch between C-suite strategy discussions and ops-floor technical details
• Rapid prototyping habit - bias for action, willing to hack, test, and refactor under tight deadlines
• Structured problem-solving - break complex logistics processes into modular components, spot edge cases early, and make data-driven decisions
• Ownership mentality - when you see blockers, you unblock them; no "not my job" mindset
• Thrives in ambiguity - comfortable with evolving specs, shifting requirements, and fast-paced startup environment
• Travel flexibility - willing to spend up to 25% of time on-site to de-risk deployments and build customer relationships

Nice-to-haves

• Experience in logistics, supply chain, or transportation technology
• Familiarity with telephony APIs (Twilio, etc.)
• Data science background for model fine-tuning and optimization
• Previous experience in customer-facing technical roles