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Senior Forward Deployed Engineer (Remote Build)

Remote

Source: GreenhouseLocation: RemotePublished: Jun 22, 2026Confirmed active: Jul 26, 2026
Technology

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At a glance

Tech stack
APIsevent-driven systemswebhooksOAuthservice accountsRAGretrieval patternsagent frameworksworkflow orchestration
Seniority:
Senior
Benefits
  • Remote
  • High autonomy and direct ownership
Languages:
English

Senior Forward Deployed Engineer (AI) at Remote: build and deploy AI-powered integrations, automations, and agentic workflows connecting customer systems to Remote’s platform. Suited for engineers with production backend/full‑stack experience who can own deployments, operate with ambiguity, and partner directly with customers.

  • Ship AI-enabled integrations and end-to-end automations
  • High autonomy and ownership from discovery to rollout
  • Focus on reliability, observability, and evaluation metrics
  • Remote role with ~10% travel for customer engagements

Automatically generated

Job description

About Remote

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. We make it possible for businesses of all sizes to recruit, pay, and manage international teams. With our core values at heart and future focused work culture, our team works tirelessly on ambitious problems, asynchronously, around the world. You can find Remoters working from 6 different continents (Antarctica left to go!) and all of our positions are fully remote.

With Innovation as one of the core values, we have built Automation and AI capabilities into the requirements for every role.

We encourage every member of the Remote team to bring their talents, experiences and culture to the table to help us build the best-in-class HR platform.

If you are energetic, curious, motivated and ambitious, be part of our world. Apply now and define the future of work!

What this job can offer you

As a Forward Deployed Engineer (AI) at Remote, you will work directly with customers and internal stakeholders to design, build, and deploy AI-powered solutions that connect Remote’s platform to customer systems and workflows. You will turn messy, real-world requirements into production-grade implementations — often by building integrations, automations, and agentic workflows — and you’ll translate field learnings back into reusable patterns and product roadmap inputs.

  • High autonomy and direct ownership of customer outcomes — from discovery through production rollout
  • Work at the frontier of practical AI: shipping systems that are reliable, observable, secure, and measurable
  • A seat at the intersection of Product, Engineering, Sales/CS, and customer teams — with clear influence on what we build next
  • Exposure to a wide set of domains (HR, payroll, finance ops, IT, integrations) and complex enterprise ecosystems
  • A remote-first environment with strong documentation culture and high trust

What you bring

  • Must have
  • Demonstrated experience shipping production software (backend and/or full-stack) and owning it in production (on-call mindset, debugging, instrumentation)
  • Strong integration and systems thinking: APIs, event-driven systems, webhooks, auth (OAuth/service accounts), data modeling, idempotency, and failure modes
  • Applied AI/LLM experience beyond prototypes: prompt+tool design, RAG and retrieval patterns, evaluation, latency/cost trade-offs, and reliability practices
  • Ability to operate in ambiguity: you can go from “problem statement” to “shipped solution” with minimal hand-holding
  • Clear, structured communication in writing; ability to explain trade-offs to technical and non-technical stakeholders

Nice to have

  • Experience with enterprise environments (security reviews, compliance constraints, procurement, change management)
  • Experience building with agent frameworks and/or workflow orchestration systems
  • Familiarity with HRIS, payroll, identity/access management, or adjacent enterprise domains
  • Experience with multi-tenant SaaS, RBAC, and data privacy by design

Key Responsibilities

  • Partner with customers to understand operational challenges, constraints, and success criteria; run structured technical discovery and define the “definition of done”
  • Translate open-ended problems into clear technical designs and implementation plans (architecture, data flows, integration surfaces, security considerations, rollout strategy)
  • Build AI-enabled solutions that integrate with customer systems and Remote’s platform (e.g., data pipelines, workflow automations, tool integrations, agentic services) and perform real tasks end-to-end
  • Own deployments including reliability, performance, observability, incident response, and continuous improvement
  • Develop evaluation and measurement for AI behavior: success metrics, test harnesses, golden datasets, regression suites, and guardrails (quality, safety, privacy)
  • Work with real data to validate outputs, quantify impact, and iterate quickly based on evidence
  • Collaborate cross-functionally with Product and Engineering to ship high-quality solutions and to upstream reusable components
  • Create leverage by turning one-off solutions into repeatable playbooks, reference architectures, templates, and internal tooling
  • Be the voice of the field : bring back concrete customer needs, edge cases, and constraints that should shape product strategy

Practicals

  • Team: Remote Build / Customer Engineering (or equivalent)
  • Location: Remote
  • Time zones: Ability to overlap with customer working hours as needed
  • Travel : Whilst the majority of the work is Remote, please expect around 10% of travel for customer engagements
  • Start date: As soon as possible

Application process

  • Recruiter screen
  • Hiring Manager interview
  • Technical challenge
  • Team interview
  • Bar Raiser interview
  • Executive interview
  • Offer + Prior employment verification check

Remote's Total Rewards philosophy is to ensure fair, unbiased …

greenhouseProduct Engineering Backenden

This role is provided by an external source. Applications are handled on the source website.

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