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AI Engineer
Cargomatic. Build and ship automations and agentic workflows that call internal REST and GraphQL APIs to read data and take production actions .
Posted 10/31/2026full-timeRemote • United StatesMid-LevelSenior💰 $150,000 - $210,000 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in building and shipping automation systems, particularly with LLM APIs and REST/GraphQL integrations. Capable of evaluating and integrating third-party AI tools while ensuring clear communication with stakeholders.
Highest-signal resume keywords
LLM API IntegrationREST/GraphQL API DevelopmentAutomation System DesignRPA Experience (UiPath Preferred)Evaluation of Third-Party Tools
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Software EngineeringDocument AutomationRegression TestingSQLNode.jsTypeScriptOCRLow-Code Automation (Zapier)Backend EngineeringEvaluation Infrastructure
Soft Skills
Clear CommunicationSound JudgmentCollaboration
Tools & Technologies
AWSGitHubMongoDBPostgreSQLRedshiftFirestoreLLM-as-Judge PipelinesHuman Review Workflows
Industry Keywords
FreightLogisticsTMSEDIDrayageCarrier/Shipper Operations
Tech Stack
Tools & technologiesAmazon RedshiftAWSGraphQLJavaScriptMongoDBNode.jsPostgresReactRPASQLTypeScript
About the role
Key responsibilities & impact- Build and ship automations and agentic workflows that call internal REST and GraphQL APIs to read data and take production actions
- Deliver document automation using OCR, extraction, managed services, and LLM vision
- Implement confidence thresholds, deterministic validation against TMS data, and routing of low-confidence results to human review
- Determine and design the right approach for each workflow using LLMs, deterministic software, RPA, or purchased tools
- Run build-versus-buy evaluations, POCs, and bake-offs covering total cost of ownership, integration effort, and operating burden
- Implement build-or-buy decisions, including integrating and rolling out purchased solutions
- Partner with the UiPath RPA team to augment or replace bots with AI and design clean AI/RPA handoffs
- Coordinate with Engineering and Platform on required platform changes and deliver the automation work
- Build evaluation infrastructure including labeled datasets, LLM-as-judge pipelines, regression testing, and release gates
- Improve AI system dependability through validation, fallbacks, idempotency, permissions, audit trails, monitoring, and reviewer-correction capture
- Inventory and rationalize Zapier automations by retaining, hardening, consolidating, or replacing them
- Prototype against real workflows and data and take successful work through production
- Document every automation with an owner, API dependencies, and a runbook
Requirements
What you’ll need- 5+ years of software engineering, including hands-on experience shipping LLM-based or automation systems to production
- Hands-on experience with LLM APIs (Anthropic, OpenAI) and agentic patterns: tool calling, structured outputs, exception routing, and human-in-the-loop
- Sound judgment on when to use LLMs, deterministic software, or RPA
- Experience building evaluation for non-deterministic systems: golden datasets, LLM-as-judge calibrated against human labels, and regression testing when prompts or models change
- Experience evaluating and integrating third-party AI or automation tools, weighing cost, effort, and risk against building in-house
- Strong backend engineering and REST/GraphQL API integration on AWS (Node.js/TypeScript preferred)
- Clear communication with non-technical stakeholders: ability to turn an operational workflow into a system design and explain tradeoffs to leadership
- Track record of shipping working systems beyond demos or prototypes
- Freight or logistics background (TMS, EDI, drayage, or carrier/shipper operations) — nice to have
- Document AI or OCR experience, including confidence calibration and human review workflows — nice to have
- Experience with RPA platforms (UiPath preferred) and modernizing or augmenting existing bots with AI — nice to have
- Low-code automation (Zapier) and workflow orchestration — nice to have
- SQL and dbt; experience with Redshift, MongoDB, PostgreSQL, or Firestore — nice to have
- React for lightweight internal tools — nice to have
- Active GitHub or open-source work — nice to have
Benefits
Comp & perks- Competitive compensation
- Medical, dental, and vision benefits
- 401K company match program
- Flexible paid time off (PTO) and paid holidays