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VoomaVoomaSan Francisco, CA

Forward Deployed Engineer

Builds and deploys custom integrations for AI agents into enterprise logistics systems, working directly with customers to design solutions, code APIs/pipelines, and ensure production success. Requires full-stack skills, integration expertise, and LLM experience in a fast-paced startup.

Salary not listed
On-siteSolutions Architecture

About the role

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

Must Haves

  • 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

Compensation & Benefits

  • Competitive compensation with significant equity upside potential
  • Comprehensive benefits including medical, dental, and vision coverage

Skills

PythonTypeScriptRestGraphQLOauth2SAMLLLMsPrompt EngineeringVector SearchNext.jsNode.jsOpenAIAnthropicTwilioETL

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