> Markdown version of [/jobs/ext/611625-forward-deployed-engineer](https://www.wearedevelopers.com/jobs/ext/611625-forward-deployed-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Forward Deployed Engineer - **Company:** Arthur AI - **Location:** New York, NY, United States - **Salary:** $170,000.0 - $220,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, SQL Databases, Systems Integration, Large Language Models, Backend, Material UI, Codebase - **Published:** June 24, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=0d4f1c6a5608990b ## About the Role Do you have experience in Customer communication?, * Strong full-stack engineering ability, with comfort building across the infrastructure layer, backend services and customer-facing UI components. * A customer-facing builder's mindset: you like being embedded on a team, solving an actual problem, and shipping things people use and get value from. * Comfort with ambiguity, context-switching, and the pre-product-market-fit reality of making bets and changing them - true startup energy and ownership. * Fluency with modern AI tooling and a "move beyond vibes" mentality: you build things that actually work, not just things that demo well. * Strong communication skills and the judgment to operate independently on a customer's team while feeding insights back to the broader org. You might also have (nice to have) * Prior forward-deployed, solutions-engineering, consulting, or embedded-engineering experience where you reported back into a central team. * Experience as a founding or early engineer at a startup. * Familiarity with AI/ML observability, evaluation, monitoring, tracing, or guardrails. * Experience building agents or LLM-powered applications, including test/eval harnesses and experiment workflows. * Background working with enterprise customers in regulated environments, including on-prem or data-governance-sensitive deployments. ## Description We are looking for a Forward Deployed Engineer to work shoulder-to-shoulder with our customers, building the solutions that make their AI systems actually work. You'll sit on a customer's team and own outcomes end-to-end, things like: Wiring their applications into Arthur's telemetry and evaluation systems, building custom UI components and dashboards, writing the queries and integrations that expose evals and guardrails to their users, etc. Just as importantly, you'll serve as a feedback loop back into product, where the patterns you discover building bespoke solutions become the primitives and features that ship to everyone. This is a high-agency, pre-product-market-fit role where you'll validate product hypotheses by building real things for real customers. The ideal candidate is a versatile, customer-facing builder who thrives on ambiguity and context-switching. You're equally comfortable diving into a customer's codebase as you are sitting in a working session understanding their problem, and you measure your success by whether people use what you build and get value from it, not by owning a single tidy technical domain. You bring genuine startup energy: you'll wear many hats, make bets, change bets, and take real ownership of the company's success. What you'll do * Embed with customers to build solutions on top of Arthur, integrating their agents and applications into our telemetry and evaluation systems, and building custom UI components, dashboards, and integrations that surface evals and guardrails to their users. * Perform as the customer-facing AI-expert, influencing the architecture and technology of the AI agents our customers build, educating them on best practices, emerging standards, and implementation details, as well as overall strategy and execution of their AI initiatives * Serve as the technical point of contact on your accounts: answer questions, write SQL queries, build dashboards, and solve problems that make customers' agents more reliable. * Validate product hypotheses by building bespoke solutions for customers, identifying the primitives and integration points that can graduate into Arthur's core product. * Operate within complex, regulated enterprise environments, working with a variety of customer stakeholders in different parts of the organization (developers, product managers, security engineers, GRC analysts, etc.) * Close the loop with product and engineering, turning patterns you see across customers into reusable features and primitives. ## Related Videos - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Getting to Know Your Legacy (System) with AI-Driven Software Archeology](https://www.wearedevelopers.com/videos/1437-getting-to-know-your-legacy-system-with-ai-driven-software-archeology) - [Building a component library for modern challenges](https://www.wearedevelopers.com/videos/650-building-a-component-library-for-modern-challenges) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) - [Postgres in the Age of AI (and Devin)](https://www.wearedevelopers.com/videos/1042-postgres-in-the-age-of-ai-and-devin) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)