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Remote

Senior Forward Deployed Engineer – Build

Remote

Forward Deployed Engineer at Remote designing and deploying AI solutions connecting customer systems and workflows. Collaborate with cross-functional teams in a remote-first culture.

Posted 6/22/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $53,300 - $215,750 per yearWebsite

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • 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
  • 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.

Benefits

Comp & perks
  • work from anywhere
  • flexible paid time off
  • flexible working hours (we are async)
  • 16 weeks paid parental leave
  • mental health support services
  • stock options
  • learning budget
  • home office budget & IT equipment
  • budget for local in-person social events or co-working spaces

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
AI-enabled solutionsdata pipelinesworkflow automationstool integrationsAPIsevent-driven systemsdata modelingprompt designevaluation metricsmulti-tenant SaaS
Soft Skills
structured communicationsystems thinkingoperating in ambiguitycollaborationproblem-solvingcustomer advocacyiterationdebuggingclear explanation of trade-offscontinuous improvement