Forward Deployed Engineer
At a glance
Mid-level Software Engineering role at Loadsmart. Chicago · full-time · $115,700–$180,800 base.
techroles summary, based on the employer's posting.
What you'll do
- Observe client operations, then rank workflow problems by which are most worth solving
- Choose and scope a fix for each priority, from an AI agent to an integration or automation
- Connect solutions to TMS, WMS and ERP systems, then ship working software such as tracking or onboarding workflows
- Use production cases to adjust agent prompts and behavior, resolving security and infrastructure needs with internal teams
- Turn lessons from client projects into reusable platform features alongside product and engineering
What you bring
- At least five years building full-stack software, with strong Python and TypeScript skills
- You have designed automated workflows or AI solutions to improve business processes
- You have built and maintained APIs that connect with external or enterprise systems
- You can turn operational needs into technical plans and explain trade-offs to nontechnical partners
- You have shipped software quickly through ambiguity and can debug or adapt in front of a customer
Who this fits
This mid-level engineering role suits someone who can alternate between production coding and working directly with operations stakeholders. It is US-remote, with travel of up to half the time for customer work and visits to the Chicago office. You must already be authorized to work full-time in the United States; visa sponsorship is unavailable.
From the employer
We're looking for an independent, pro-active thinker, technically sharp Forward Deployed Engineer to join our team. We're looking for someone who's as comfortable writing production code as they are sitting in a room with an operations stakeholder who doesn’t care about architecture but focuses on what works for the business.
This role sits at the front line of Loadsmart's AI-driven automation work. You'll take AI agents and workflows - built on our brokerage, dock scheduling, and shipper platforms and make them actually work in production: for a specific team, a specific workflow, and a specific set of real-world edge cases. You'll build the integrations, tune the AI behavior, and ship working software fast, then feed what you learn back into the platform so it doesn't have to be rebuilt from scratch next time.
LOCATION: US Remote with travel up to 50% to client engagements and Loadsmart's Chicago office.
TEAM: R&D
Job Type: Exempt
WHAT YOU GET TO DO:
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Shadow client teams and their day-to-day operations to see workflows firsthand, then run structured discovery to identify and prioritize the pain points worth solving.
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Design the right solution for each prioritized pain point - whether that's an automation, an AI agent, a system integration, or a combination - and scope it before building.
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Build and integrate that solution against real systems, including transportation management systems (TMS), warehouse management systems (WMS), and enterprise resource planning (ERP) platforms.
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Prototype and ship working automation - such as automated check calls and shipment tracking, carrier qualification and onboarding flows, and voice or chat-based agents - prioritizing action and execution speed to deliver value.
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Tune prompts, agent behavior, and voice or transcription models based on real production data and edge cases - and keep refining after launch, since agent behavior surfaces new edge cases as real usage grows.
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Identify security, compliance, and infrastructure requirements early in each project, and work with the right internal stakeholders to resolve them before they become blockers.
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Feed what you learn back to product and supporting engineering teams, turning recurring patterns into reusable platform capabilities rather than one-off fixes.
REQUIRED QUALIFICATIONS:
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5+ years of full-stack engineering experience, with strong proficiency in Python and TypeScript, including supporting libraries and frameworks that leverage fast prototyping.
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Hands-on experience designing and implementing automated workflows and AI-driven solutions to optimize business processes.
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Proven experience building and maintaining APIs and integrations with third-party or enterprise systems.
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Demonstrated ability to work directly with non-technical stakeholders — translating operational needs into technical solutions, and clearly explaining technical trade-offs and progress, both in writing and in conversation.
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Comfortable being the person in the room when things don't go as planned — able to debug, re-scope, or improvise a solution in front of a customer rather than escalating and waiting.
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A track record of shipping working software quickly in ambiguous, fast-changing environments.
NICE TO HAVE QUALIFICATIONS:
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Experience with voice or transcription-based systems, especially in operational or logistics contexts.
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Familiarity with freight, transportation, or supply chain systems (TMS, WMS, or ERP platforms).
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Experience working in a growth-stage or startup environment where the platform underneath your work is still being built.
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Exposure to agent orchestration frameworks or evaluation/monitoring tooling for LLM-based systems.
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Prior experience in a role that required both building software and owning a customer relationship.