{"id":21725,"url":"https://alion.io/job/neuroscale-forward-deployed-engineer","title":"Forward Deployed Engineer","company":{"id":6185,"name":"Neuroscale AI","domain":"neuroscale.ai","url":"https://alion.io/company/neuroscale","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"A","score":95,"open_postings":4,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":128,"computed_at":"2026-10-16T05:45:00Z"}},"role":"Solutions","role_family":"Solutions","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Reston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":125000,"max":180000,"currency":"USD","period":"year","gross":null,"usd_annual":180000},"salary_estimate":null,"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Embeddings","optional":false},{"name":"Explainable AI","optional":false},{"name":"GCP","optional":false},{"name":"Human-in-the-Loop","optional":false},{"name":"JavaScript","optional":false},{"name":"Node JS","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"TypeScript","optional":false},{"name":"CI/CD","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Google Workspace","optional":true},{"name":"Kubernetes","optional":true},{"name":"OpenSearch","optional":true},{"name":"Pinecone","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Redis","optional":true},{"name":"ServiceNow","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-06-02T03:18:14Z","employer_posted_date":"2026-06-02","last_verified_at":"2026-10-16T22:41:18Z","board_verified":true,"closed_at":null,"days_open":136,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":136},"description":"About Neuroscale\nNeuroscale is building the AI recruiting operating system, one unified platform for your entire talent organization, from first touch to hired. Arbi eliminates fragmented workflows, integrates directly with your ATS, and orchestrates AI agents for sourcing, outreach, screening, and candidate intelligence end-to-end. By combining reasoning-optimized models with deep workflow automation, Arbi helps talent teams win more top candidates with dramatically less friction.\nWe’re backed by top operators and investors, and we’re growing fast. Our momentum is further fueled by blue-chip partners and programs, including the NVIDIA Inception Program, the HPE Unleash AI Program, and our active DoD SBIR Phase II award and contract.\nWe’re now hiring a Forward Deployed Engineer to help accelerate adoption of Arbi in both federal & commercial space to help us dominate one of the largest and fastest-expanding categories in modern software. This is not a maintenance role. This is a hands-on, high-ownership opportunity for someone who has operated at a full-stack engineer, architect, or founding/lead engineer level and knows how to deploy production-grade systems that scale.\nThe Role\nAs 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.\nThis 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.\nThis role is ideal for an entrepreneurial engineer who enjoys the intersection of software engineering, AI implementation, solution architecture, technical consulting, and customer success.\nWhat You'll Do\nCustomer Deployment & Technical Delivery\nOwn customer deployments from discovery through go-live, including workflow mapping, solution design, implementation, testing, launch, and post-launch optimization.\n\nWork 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.\n\nConfigure 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.\n\nBuild and maintain integrations with ATS, HRIS, CRM, LMS, identity providers, email/calendar systems, job boards, and customer data environments.\n\nSupport production rollouts for enterprise, public sector, and higher-education customers.\n\nAI Workflow Engineering\nDesign and implement AI-powered workflows using LLMs, RAG, structured evaluation rubrics, candidate scoring logic, document intelligence, and agentic automation.\n\nHelp customers define evaluation criteria, scoring rubrics, workflow automation rules, and human-in-the-loop review patterns.\n\nWork with product and ML teams to improve prompt chains, model evaluation, retrieval quality, explainability, auditability, and customer-specific performance.\n\nSupport safe, reliable, and explainable AI deployments with clear logging, traceability, monitoring, and customer-facing outputs.\n\nProduct Feedback & Internal Collaboration\nServe as the voice of the customer to the product and engineering teams.\n\nIdentify repeatable customer patterns and turn them into reusable templates, product features, implementation accelerators, and reference architectures.\n\nWrite clear technical documentation, deployment guides, integration notes, customer playbooks, and implementation best practices.\n\nPartner with sales, customer success, product, and engineering teams during pilots, demos, enterprise evaluations, renewals, and expansions.\n\nTechnical Problem Solving\nTroubleshoot integration issues, API failures, data mapping problems, authentication flows, permissions, system performance, and customer environment constraints.\n\nRapidly prototype solutions when customer requirements are ambiguous or evolving.\n\nMake practical engineering tradeoffs to deliver customer outcomes quickly without introducing unnecessary complexity.\n\nWhat We're Looking For\nRequired Qualifications\n5+ years of experience in software engineering, solution engineering, technical consulting, customer-facing engineering, implementation engineering, or forward deployed engineering.\n\nStrong hands-on programming experience with Python, TypeScript, JavaScript, Node.js, or similar modern languages.\n\nExperience building or integrating production software systems using REST APIs, webhooks, OAuth, SSO/SAML, databases, cloud services, and enterprise application integrations.\n\nExperience working with cloud environments such as AWS, Azure, or GCP.\n\nStrong understanding of modern AI/ML and GenAI concepts, including LLMs, RAG, embeddings, vector search, prompt engineering, evaluation, and workflow orchestration.\n\nAbility to work directly with enterprise IT and security teams on authentication, access control, logging, data privacy, data residency, and deployment requirements.\n\nExcellent communication skills with the ability to explain technical concepts to both technical and non-technical stakeholders.\n\nStrong ownership mindset, customer empathy, and ability to operate in ambiguous, fast-moving environments.\n\nWillingness to travel for customer workshops, onsite deployments, executive briefings, and go-lives.\n\nPreferred Qualifications\nExperience deploying AI, SaaS, HR Tech, recruiting tech, workflow automation, document intelligence, or enterprise analytics platforms.\n\nExperience integrating with systems such as Workday, Greenhouse, Lever, iCIMS, Bullhorn, Salesforce, HubSpot, ServiceNow, Microsoft 365, Google Workspace, or similar enterprise platforms.\n\nExperience with databases and search systems such as PostgreSQL, Redis, OpenSearch, Elasticsearch, Pinecone, Weaviate, or other vector databases.\n\nExperience with Docker, Kubernetes, CI/CD pipelines, observability tools, and production monitoring.\n\nExperience in public sector, federal, higher education, staffing, HR, talent acquisition, or workforce development environments.\n\nPrior experience at an early-stage startup or in a high-growth customer-facing technical role.\n\nWho You Are\nYou are a builder who likes being close to the customer.\n\nYou are comfortable writing code one day, leading a customer workshop the next, and helping product prioritize roadmap items the day after that.\n\nYou can take an ambiguous business problem, break it down, design a technical path forward, and ship a working solution.\n\nYou have low ego, high ownership, and strong judgment.\n\nYou care about customer outcomes, but you also care about building repeatable product capabilities rather than one-off services.\n\nYou are excited about the opportunity to help define how AI transforms recruiting, talent assessment, workforce planning, and enterprise decision-making.\n\nWhat's In It For You\nJoin a tight-knit team building one of the most ambitious AI-native recruiting platforms in the market.\n\nWork directly with founders, customers, product leaders, and engineering teams.\n\nHelp shape how Arbi is deployed across commercial, public sector, higher education, and enterprise environments.\n\nCompetitive salary, meaningful early-stage equity, and flexible work arrangements.\n\nHigh trust, low bureaucracy, and a culture of ownership.\n\nOpportunity to build reusable deployment patterns, customer accelerators, and product capabilities that define the future of Neuroscale AI.\n\nCompensation\nBase salary range: $125,000-$180,000, based on experience, location, and scope of responsibility.\nThis role also includes meaningful early-stage equity and the opportunity to have a direct impact on the growth and success of Neuroscale AI.\nEqual Opportunity Statement\nNeuroscale AI is an equal opportunity employer. We value diverse perspectives and are committed to building an inclusive team. We encourage candidates from all backgrounds to apply, especially those who are excited to help build the future of AI-powered recruiting and workforce intelligence.","description_format":"text","description_chars":8397,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Government","AI Agents","HR & Recruiting AI","Recruiting Software & ATS"],"lifecycle":[{"event":"open","at":"2026-06-02T03:18:14Z"},{"event":"close","at":"2026-08-13T11:34:31Z"},{"event":"reopen","at":"2026-08-30T08:36:13Z"}],"visa":[],"liveness":{"score":30,"band":"fade","label":"Fading","p_open":1,"p_active":0.678,"p_room":0.44,"age_days":136,"expected_fill_days":128,"reasons":["conf:0","win:tail","crowd:"],"computed_at":"2026-10-16T05:45:00Z"},"pay":{"stated_usd_annual":180000,"is_top_pay":false},"html_url":"https://alion.io/job/neuroscale-forward-deployed-engineer","json_url":"https://alion.io/job/neuroscale-forward-deployed-engineer.json","meta":{"generated_at":"2026-10-16T22:43:05Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":4317,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":6185},"rest":"https://alion.io/mcp/rest/get_company?id=6185"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fneuroscale-forward-deployed-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fneuroscale-forward-deployed-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fneuroscale-forward-deployed-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/neuroscale-forward-deployed-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fneuroscale-forward-deployed-engineer"}]}