Forward Deployed Engineer
Neuroscale AI3 months ago
Reston, VA, USASenior
Base Salary
$125k - $180k/yr
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, HR, talent acquisition, IT, security, and executive stakeholders to translate business goals into technical solutions.
- Configure and customize workflows for resume screening, candidate matching, recruiter copilots, outreach, interviews, compliance review, analytics, and reporting.
- Build and maintain integrations with ATS, HRIS, CRM, LMS, identity providers, email and calendar systems, job boards, and customer data environments.
- Design and implement AI-powered workflows using LLMs, RAG, evaluation rubrics, candidate scoring, document intelligence, and agentic automation.
- Define evaluation criteria, scoring rubrics, automation rules, and human-in-the-loop review patterns with customers.
- Improve prompt chains, model evaluation, retrieval quality, explainability, auditability, and customer-specific performance with product and ML teams.
- Support safe, reliable, traceable, and explainable AI deployments through logging and monitoring.
- Translate recurring customer needs into reusable templates, product features, implementation accelerators, and reference architectures.
- Create technical documentation, deployment guides, integration notes, customer playbooks, and implementation best practices.
- Troubleshoot integration issues, API failures, data mapping, authentication, permissions, performance, and customer environment constraints.
- Prototype solutions rapidly and make practical engineering tradeoffs to deliver customer outcomes.
- Partner with sales, customer success, product, and engineering during pilots, demos, enterprise evaluations, renewals, and expansions.
Requirements
- At least 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 systems using APIs, webhooks, OAuth, SSO/SAML, databases, cloud services, and enterprise applications.
- Experience with AWS, Azure, or GCP environments.
- Understanding of LLMs, RAG, embeddings, vector search, prompt engineering, evaluation, and workflow orchestration.
- Ability to work with enterprise IT and security teams on authentication, access control, logging, data privacy, data residency, and deployment requirements.
- Strong communication, ownership, customer empathy, and judgment in ambiguous environments.
- Willingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.
- Preferred experience deploying AI, SaaS, HR technology, recruiting technology, workflow automation, document intelligence, or enterprise analytics platforms.
- Preferred integrations experience with Workday, Greenhouse, Lever, iCIMS, Bullhorn, Salesforce, HubSpot, ServiceNow, Microsoft 365, Google Workspace, or similar platforms.
- Preferred experience with PostgreSQL, Redis, OpenSearch, Elasticsearch, Pinecone, Weaviate, or other vector databases.
- Preferred experience with Docker, Kubernetes, observability tools, and production monitoring.
- Preferred experience in public-sector, federal, higher-education, staffing, HR, talent acquisition, or workforce development environments.
- Prior early-stage startup or high-growth customer-facing technical experience is preferred.
Benefits
- Flexible work arrangements.
- Meaningful early-stage equity opportunity.
- Direct collaboration with founders, customers, product leaders, and engineering teams.
- High-trust, low-bureaucracy culture with ownership.
- Opportunity to build reusable deployment patterns and product capabilities.
Tech Stack
Categories
Forward Deployed
About Neuroscale AI
The only advantage in hiring, is speed. Arbi sources, evaluates, and reaches out to candidates, automatically. Whether you're sourcing fresh talent, evaluating a stack of resumes, or running automatic outreach, Arbi is built for every step of the hiring process. PS: Did we mention it's all run out of a single tab?