> AI agents: this is one page of Nextmove’s FDE site, in Markdown. Nextmove is a job board and free career service for forward deployed engineers (FDEs). Each posting is classified from its text, not its title: the kind of work, how much of it is production code, pre-sales weight, time at customer sites, travel, remote arrangement, level and posted base pay. The site also publishes the aggregates: median pay by level, metro, company and kind of work, and which companies started hiring FDEs each week. Every page under https://nextmove.md/fde is served this way; the index of pages is https://nextmove.md/llms.txt. # AI Engineer Canonical URL: https://nextmove.md/fde/jobs/25a1805d94969958 Cargomatic posts a FDE role to build for teams inside the company in US, at $150,000–$210,000 base, below the senior FDE median of $190,000 across 1,864 postings with pay. Build and productionize AI and automation workflows for exception-heavy logistics operations, spanning pricing, dispatch, document processing, billing, and invoicing. Read from the employer’s posting on November 8, 2026. - [Cargomatic](https://nextmove.md/fde/companies/cargomatic) Posted May 1, 2026 by Cargomatic · open on Greenhouse as of Nov 8, 2026 **$150,000–$210,000** US Remote Build and productionize AI and automation workflows for exception-heavy logistics operations, spanning pricing, dispatch, document processing, billing, and invoicing. - [See roles that fit me](https://nextmove.md/sign-up?from=%2Ffde%2Fjobs%2F25a1805d94969958&placement=top) - [View posting at Cargomatic](https://job-boards.greenhouse.io/cargomatic/jobs/5207803008) Free. Upload your resume once, see why each FDE role fits, and get introduced only when you say so. ## At a glance ### Posted base pay $150K–$210K Below the median Midpoint $180K · median $190K This job $150K to $210K. Senior FDE postings, 1,864 postings: the middle 50% of posted pay is $160K to $220K, median $190K. ### The work Builds for teams inside the company Balance **Mostly building** Project stages 1. Pre-sales (not covered) 2. Proof of concept 3. Implementation 4. Operations - **Coding**: Writes production code - **Builds for**: Internal teams - **Level**: Senior - **Role**: Individual contributor ### What they ask for Experience - **5+ years** software engineering Background - **Software engineering** ### Do you meet what the posting states? The posting asks for 5+ years. How many do you have? The posting reads as a senior role. What level are you at now? The work is remote from the US. Can you work from the US? Which of these have you used in production? Answer each one. Nothing is saved or sent. [What postings ask for, by background →](https://nextmove.md/fde/paths) ## Conditions - **Location**: US - **Work arrangement**: Remote - **Pay**: ## More like this [The Carlyle Group](https://nextmove.md/fde/companies/the-carlyle-group) ### [Engineer, AI & Process Automation](https://nextmove.md/fde/jobs/b7b9aaff57e1f740) Washington, DC Remote 2mo ago $160,000–$180,000 [Karbon](https://nextmove.md/fde/companies/karbon) ### [AI Operations Lead](https://nextmove.md/fde/jobs/c1b8436a85d13d09) US Remote 6w ago $180,000–$190,000 [Amgen](https://nextmove.md/fde/companies/amgen) ### [Senior Forward Deployed Engineer, AI Studio](https://nextmove.md/fde/jobs/1edd4a2a25d5bcfc) US Remote 3mo ago $156,190–$211,316 ## The job description from Cargomatic Posted by Cargomatic on May 1, 2026 AI Engineer – Agentic Automation Location: Remote Compensation: $150,000 – $210,000 Reports to: Director of Product Join a rapidly growing company disrupting the trucking industry! Cargomatic is the #1 technology platform and digital marketplace for powering world-class, local trucking. Take a look around you. Literally everything humans build, grow, or sell has spent time on a truck. Local trucking is the lifeblood of every regional economy, and yet this $82 billion industry still relies heavily on phone calls and fax machines. Cargomatic is transforming the way goods move around every local node in the supply chain by connecting shippers and commercial truck drivers with mobile technology. We are solving complex, real-world problems every day, and giving full transparency to the shipping process. About the Role Cargomatic runs a live TMS, an RPA stack, and many manual, exception-heavy logistics workflows across pricing, dispatch, documents, billing, and invoicing. We're looking for a hands-on AI Engineer to automate them. Product identifies and prioritizes the opportunities. You'll determine the right way to automate each one (build, buy, or partner) and deliver it in production, in partnership with our Engineering and Platform teams and following their standards. You'll report to the Director of Product, with dedicated capacity for automation delivery, and work closely with Operations and our RPA team. ### What You'll Do Build and ship automations and agentic workflows that call our internal REST and GraphQL APIs to read data and take production actions. - Deliver document automation (OCR and extraction) using managed services and LLM vision. This includes confidence thresholds, deterministic validation against TMS data, and routing low-confidence results to human review. - Determine and design the right approach for each workflow: LLM, deterministic software, RPA, or a purchased tool, with clean handoffs between them. - Run build vs. buy evaluations, including POCs and bake-offs covering total cost of ownership, integration effort, and operating burden. Then implement the decision, whether that means building or integrating and rolling out what we buy. - Partner closely with our RPA team (UiPath). Identify existing bots that should be augmented or replaced with AI, and design workflows where AI and RPA hand off cleanly. - Coordinate with Engineering and Platform when automation needs platform changes. Scope the ask clearly, then deliver your side. - Build the evaluation infrastructure for every AI system we ship: labeled datasets, LLM-as-judge pipelines, regression testing, and release gates. Product defines the quality criteria; you make them executable. - Make AI systems dependable through validation, fallbacks, idempotency, permissions, audit trails, monitoring, and capture of reviewer corrections. - Inventory and rationalize our existing low-code automations (Zapier): decide which to keep, harden, consolidate, or replace. Check what our existing stack already covers before adding anything new, and avoid depending on tools we plan to retire. - Prototype quickly against real workflows and data, and take successful work all the way to production. ### Scope This role consumes platform capabilities and does not own core platform, authentication, or infrastructure. Agent infrastructure needs, such as tool authorization and observability, are evaluated for buy or partner options first, in partnership with Engineering and DevOps. Initial document AI work uses managed services; model hosting and training are in scope only if evaluation shows a clear need. All production work follows Engineering's standards: code in our shared repositories, Engineering code review and architecture review, standard deployment and monitoring, and Engineering sign-off on production readiness. Every automation is documented with an owner, its API dependencies, and a runbook, so any engineer can operate and inherit what you build. ### Must-Have 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: you can turn an operational workflow into a system design and explain tradeoffs to leadership. - A track record of shipping working systems beyond demos or prototypes. ### Nice to Have Freight or logistics background (TMS, EDI, drayage, or carrier/shipper operations). - Document AI or OCR experience, including confidence calibration and human review workflows. - Experience with RPA platforms (UiPath preferred) and with modernizing or augmenting existing bots with AI. - Low-code automation (Zapier) and workflow orchestration, with judgment on when a workflow should move to code. - SQL and dbt; experience with Redshift, MongoDB, PostgreSQL, or Firestore. - React for lightweight internal tools. - Active GitHub or open-source work. ### Benefits & Perks Competitive compensation - Medical, dental, and vision benefits - 401K company match program - Flexible paid time off (PTO) and paid holidays ### Equal Opportunity Employer Cargomatic is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. [View posting at Cargomatic](https://job-boards.greenhouse.io/cargomatic/jobs/5207803008) ## About Cargomatic Cargomatic connects shippers with trucking capacity through a freight marketplace and provides local, regional, port, and final-mile transportation services. 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