Senior Forward Deployed Engineer (Remote Build)

Remote is solving modern organizations’ biggest challenge – navigating global employment compliantly with ease. They enable businesses of all sizes to recruit, pay, and manage international teams with a focus on innovation, automation, and AI. The company values a remote-first, asynchronous work culture and encourages bringing talents and experiences to build a best-in-class HR platform.

Location: Remote

Salary: $53,300—$215,750 USD

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

Requirements

• 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

Benefits

• Work from anywhere
• Flexible paid time off
• Flexible working hours (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