Customer-Facing AI Deployment Engineer

NeuroScale; Reston (VA); On-site; USD 125,000 - 180,000; Full time

Job summary

Neuroscale is hiring a Forward Deployed Engineer to bridge customers and product, deploying Arbi, integrating with existing systems, and delivering measurable impact. You’ll work hands-on across deployments, integrations, and AI workflow design to optimize customer outcomes.

You will collaborate with customers and internal teams, shaping deployment patterns, writing deployment guides, and delivering scalable solutions in a fast-moving environment across federal and commercial spaces.

Qualifications

• 5+ years of experience in software engineering, solution engineering, technical consulting, customer-facing engineering, implementation engineering, or forward deployed engineering.
• Strong hands-on programming experience with Python, TypeScript, JavaScript, Node.js, or similar modern languages.
• Experience building or integrating production software systems using REST APIs, webhooks, OAuth, SSO/SAML, databases, cloud services, and enterprise application integrations.
• Experience working with cloud environments such as AWS, Azure, or GCP.
• Strong understanding of modern AI/ML and GenAI concepts, including LLMs, RAG, embeddings, vector search, prompt engineering, evaluation, and workflow orchestration.
• Ability to work directly with enterprise IT and security teams on authentication, access control, logging, data privacy, data residency, and deployment requirements.
• Excellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.
• Strong ownership mindset, customer empathy, and ability to operate in ambiguous, fast-moving environments.
• Willingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.

Responsibilities

• 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.
• 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.

Skills

Python

TypeScript

JavaScript

Node.js

REST APIs

Tools

Docker

Kubernetes

CI/CD

Job description

Neuroscale is hiring a Forward Deployed Engineer to bridge customers and product, deploying Arbi, integrating with existing systems, and delivering measurable impact. You’ll work hands-on across deployments, integrations, and AI workflow design to optimize customer outcomes.

You will collaborate with customers and internal teams, shaping deployment patterns, writing deployment guides, and delivering scalable solutions in a fast-moving environment across federal and commercial spaces.