The RoleAs 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.
What You'll DoCustomer 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.
What We're Looking ForRequired 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.
Preferred Qualifications- Experience deploying AI, SaaS, HR Tech, recruiting tech, workflow automation, document intelligence, or enterprise analytics platforms.
- Experience integrating with systems such as Workday, Greenhouse, Lever, iCIMS, Bullhorn, Salesforce, HubSpot, ServiceNow, Microsoft 365, Google Workspace, or similar enterprise platforms.
- Experience with databases and search systems such as PostgreSQL, Redis, OpenSearch, Elasticsearch, Pinecone, Weaviate, or other vector databases.
- Experience with Docker, Kubernetes, CI/CD pipelines, observability tools, and production monitoring.
- Experience in public sector, federal, higher education, staffing, HR, talent acquisition, or workforce development environments.
- Prior experience at an early-stage startup or in a high-growth customer-facing technical role.
Who You Are- You are a builder who likes being close to the customer.
- You are comfortable writing code one day, leading a customer workshop the next, and helping product prioritize roadmap items the day after that.
- You can take an ambiguous business problem, break it down, design a technical path forward, and ship a working solution.
- You have low ego, high ownership, and strong judgment.
- You care about customer outcomes, but you also care about building repeatable product capabilities rather than one-off services.
- You are excited about the opportunity to help define how AI transforms recruiting, talent assessment, workforce planning, and enterprise decision-making.
What's In It For You- Join a tight-knit team building one of the most ambitious AI-native recruiting platforms in the market.
- Work directly with founders, customers, product leaders, and engineering teams.
- Help shape how Arbi is deployed across commercial, public sector, higher education, and enterprise environments.
- Competitive salary, meaningful early-stage equity, and flexible work arrangements.
- High trust, low bureaucracy, and a culture of ownership.
- Opportunity to build reusable deployment patterns, customer accelerators, and product capabilities that define the future of Neuroscale AI.
CompensationBase salary range: $125,000-$180,000, based on experience, location, and scope of responsibility.
This role also includes meaningful early-stage equity and the opportunity to have a direct impact on the growth and success of Neuroscale AI.
