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.
About the job
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
Python, TypeScript, Rest, GraphQL, Oauth2, SAML, LLMs, Prompt Engineering, Vector Search, Next.js, Node.js, OpenAI, Anthropic, Twilio, ETL
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