Senior Forward Deployed Engineer (Remote Build)

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-