AI Engineer

Job not on LinkedIn

🔥 13 hours ago

🇺🇸 United States – Remote

💵 $150k - $210k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

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📋 Description

• 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

• 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

• Competitive compensation • Medical, dental, and vision benefits • 401K company match program • Flexible paid time off (PTO) and paid holidays

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