Forward Deployed Engineer

External

Neuroscale · Reston

Full-timeOn-site1w ago

ComplianceCRMDocumentationJavaScriptLessLLMs

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About the role

As a Forward Deployed Engineer at Neuroscale AI, you will be the technical bridge between our customers and our product. You will work directly with customers to understand their recruiting workflows, configure and deploy Arbi, integrate with their existing systems, and build production-ready solutions that deliver measurable impact. This is a hands-on engineering role with significant customer exposure. You will write code, design integrations, build prototypes, configure AI workflows, troubleshoot deployments, and work closely with product and engineering to turn customer feedback into scalable product improvements. This role is ideal for an entrepreneurial engineer who enjoys the intersection of software engineering, AI implementation, solution architecture, technical consulting, and customer success.

Responsibilities

Customer Deployment & Technical Delivery

Own customer deployments from discovery through go-live, including workflow mapping, solution design, implementation, testing, launch, and post-launch optimization.

Work directly with recruiting leaders, HR teams, talent acquisition operations, IT/security teams, and executive stakeholders to understand business goals and translate them into technical solutions.

Configure and customize Arbi workflows for use cases such as resume screening, candidate matching, recruiter copilots, automated outreach, interview workflows, compliance review, talent pipeline analytics, and enterprise reporting.

Build and maintain integrations with ATS, HRIS, CRM, LMS, identity providers, email/calendar systems, job boards, and customer data environments.

Support production rollouts for enterprise, public sector, and higher-education customers.

AI Workflow Engineering

Design and implement AI-powered workflows using LLMs, RAG, structured evaluation rubrics, candidate scoring logic, document intelligence, and agentic automation.

Help customers define evaluation criteria, scoring rubrics, workflow automation rules, and human-in-the-loop review patterns.

Work with product and ML teams to improve prompt chains, model evaluation, retrieval quality, explainability, auditability, and customer-specific performance.

Support safe, reliable, and explainable AI deployments with clear logging, traceability, monitoring, and customer-facing outputs.

Product Feedback & Internal Collaboration

Serve as the voice of the customer to the product and engineering teams.

Identify repeatable customer patterns and turn them into reusable templates, product features, implementation accelerators, and reference architectures.

Write clear technical documentation, deployment guides, integration notes, customer playbooks, and implementation best practices.

Partner with sales, customer success, product, and engineering teams during pilots, demos, enterprise evaluations, renewals, and expansions.

Technical Problem Solving

Troubleshoot integration issues, API failures, data mapping problems, authentication flows, permissions, system performance, and customer environment constraints.

Rapidly prototype solutions when customer requirements are ambiguous or evolving.

Make practical engineering tradeoffs to deliver customer outcomes quickly without introducing unnecessary complexity.

Forward Deployed Engineer

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