PartsBase Inc. Logo

PartsBase Inc.

Forward Deployed Engineer

Posted 4 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
Build and certify AI-driven customer integrations from discovery through sign-off. Responsibilities include solution design, agent and MCP development, data integration, automated verification, security guardrails, testing, observability, customer security reviews, documentation, and productizing recurring solutions. The role also contributes to the core platform and internal agentic tooling while independently managing client engagements.
The summary above was generated by AI
Company Overview:

PartsBase Inc. is the world's largest online Aviation Marketplace and Community. Our global community is comprised of over 6,500 companies accessing our technology in over 140+ countries & territories. We work with some of the biggest brands in aviation including Delta, Northrop Gruman, AvAir, Heico, Chevron, Air France Industries, and Air Australia.

PartsBase offers a FULLY remote environment where one can work at the forefront of where the aviation business meets technology. Imagine getting to work with peers worldwide, implementing business technology projects that challenge the boundaries.

Life at PartsBase:

One of the top benefits of working at PartsBase is the culture. We are a TEAM-focused organization, and everyone celebrates each other's successes. Our inclusive culture welcomes all employees and values their unique contributions to our success. Our clients tell us time and time again that our people set us apart from the competition. We naturally strive to hire the very best talent. The ideal candidate is a motivated, well-organized individual who has a deep understanding of prospecting and developing strong relationships with customers.

OVERVIEW

Partsbase, Inc. the world’s largest B2B online parts locator service for the aviation, aerospace, and defense industries with more than 6,500 corporate customers across 132 countries, is looking for a Forward Deployed Engineer to scope, build, and certify AI-driven integrations for our corporate customers, and to strengthen our own platform between engagements. This is a senior, client-facing role for an engineer who runs an engagement independently, from discovery through sign-off, with Claude Code as their primary instrument.

RESPONSIBILITIES

· Run technical discovery with customers and turn what you find into a technical scope, a risk assessment, and an estimate that covers both build effort and what the solution costs to run at their volume.

· Partner with Sales on scoping, and own the solution design.

· Build integrations end to end with Claude Code: agents and MCP servers, ERP and third-party connectors, file and batch ingestion, webhooks, and data mapping.

· Certify your own work, with parity against the customer’s source of truth, automated regression, and evidence the customer can sign off on.

· Build reusable verification tooling: parity harnesses, reconciliation, agent-driven test generation, and reporting a customer will accept.

· Define how we test agentic components, including prompt injection paths, tool and MCP permission scoping, and what an agent can do without a human in the loop.

· Design guardrails for agentic components in customer environments: scoped credentials, approval gates, output validation, audit logging, and rollback.

· Act as the primary technical interface for the engagement, and get through customer security review and change control without working around it.

· Hand off cleanly with documentation, runbooks, and monitoring.

· Convert what recurs across engagements into product: API capability, reference implementations, connectors, and an official Partsbase MCP server.

· Own developer experience for the integration surface, including documentation written for agents as well as humans, worked examples, and a self-service path.

· Between engagements, contribute across the full stack to the core platform.

· Build and maintain internal agentic tooling, including CLAUDE.md, subagents, skills, hooks, MCP servers, and n8n automations.

REQUIREMENTS

· Bachelor’s degree in Computer Science, Engineering, or equivalent experience.

· 10+ years building and shipping production software across backend, frontend, and integration work.

· At least 5 of those years operating systems you built yourself, on call for them, living with design decisions you made years earlier.

· Direct experience in a billable consulting, professional services, or solutions engineering capacity: scoping, estimating build effort and running cost, and owning a customer relationship.

· This role builds and certifies. A candidate strong in only one of the two is not a fit.

· Demonstrated production use of Claude Code, including CLAUDE.md, subagents, skills, hooks, MCP servers, and the Claude API. We ask for evidence, not years.

· Command of context engineering, tool use, model selection, and the failure modes of non-deterministic systems.

· Proven ability to catch AI output that is confidently wrong, and the automated checks you built so it does not reach a customer.

· Deep experience verifying data integrations: reconciliation strategy, parity at scale, sampling versus full comparison, and records that legitimately differ.

· Agent-driven testing and evaluation of non-deterministic behavior, including designing verification with Claude rather than hand-writing every case, eval design and scoring, and regression detection across prompt and model changes.

· Test automation at scale (Playwright, Cypress, or equivalent; API and contract testing), including flake elimination.

· A defect that escaped to a customer on your watch, that you owned, and that led you to change something systemic rather than add a test case.

· Instinct for when to stop solving a problem one customer at a time and productize it, and for when a pattern is not yet real enough to generalize.

· Experience evolving a partner-facing API, including the versioning and deprecation consequences of getting it wrong.

· C# and .NET including .NET Framework 4.6-era code, plus Python, TypeScript, and React with Next.js or React Native.

· AWS: deploying, operating, and debugging production workloads.

· REST integration at scale, and data integration across the maturity spectrum, from spreadsheet and flat file to batch, webhook, event-driven, and direct API.

· SQL Server, PostgreSQL, DynamoDB, and Elasticsearch.

· CI/CD with test automation in the pipeline, production observability (New Relic or equivalent), and automation platforms such as n8n.

· Credible in front of a customer: able to run a discovery session and leave them more confident than when you arrived, including when their entire process turns out to be a spreadsheet.

· Experience being overruled, or talking an organization out of something it wanted, and handling the aftermath professionally.

· Fluent in English language.

· Nice to have: aviation, aerospace, or defense exposure including ITAR/EAR awareness, and ERP integration (SAP, Oracle, Dynamics, or aerospace-specific systems).

· Nice to have: security testing practice, including OWASP Top 10 and the OWASP Top 10 for LLMs.

Similar Jobs

Yesterday
Easy Apply
Remote
United States
Easy Apply
250K-400K Annually
Senior level
250K-400K Annually
Senior level
Enterprise Web • Mobile • Professional Services • Software
Build and ship custom full-stack programs for AI labs and product teams, including capture flows, task logic, data pipelines, validation, redaction, provenance, and delivery across web, mobile, and backend systems. Partner directly with technical customers to scope ambiguous requirements, determine what to reuse or build, ship production code, establish data quality processes, and turn repeatable custom solutions into core platform capabilities.
Top Skills: Claude CodeCodexCursorElixirKotlinLlmsPythonReactSwift
10 Days Ago
Remote
United States
192K-240K Annually
Senior level
192K-240K Annually
Senior level
Healthtech • Social Impact • Software • Telehealth
Build and deploy AI-powered tools for Rula’s business and clinical teams by observing workflows, rapidly delivering production software, measuring usage and impact, and enabling teams to operate tools independently. The role requires privacy-by-design practices, rigorous AI evaluation, customer-centric discovery, and integration with complex legacy systems. Staff engineers may optimize LLM costs and quality while creating reusable building blocks for future teams.
Top Skills: Artificial IntelligenceBilling SystemsCoding AgentsCrm SystemsLarge Language ModelsScheduling Systems
14 Days Ago
Easy Apply
Remote or Hybrid
New York, NY, USA
Easy Apply
145K-219K Annually
Senior level
145K-219K Annually
Senior level
Artificial Intelligence • Cloud • Information Technology • Machine Learning • Software • Big Data Analytics • Automation
Deploy and integrate PagerDuty’s SRE Agent into strategic customer production environments, connecting infrastructure-as-code, GitOps, CI/CD, observability, and incident-management systems. Build reusable agent tools, connectors, evaluation pipelines, and safety guardrails; run customer pilots; resolve adoption blockers; contribute production code to the core product; and shape technical roadmaps. The role combines staff-level software engineering, production LLM and agent-system development, technical consulting, customer engagement, and frequent travel.
Top Skills: Agentic AiArgo CdCi/CdGitopsInfrastructure As CodeLlmModel Context Protocol (Mcp)Observability PlatformsPagerdutyPolicy-As-CodeProgressive DeliveryPulumiTerraform

What you need to know about the NYC Tech Scene

As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.

Key Facts About NYC Tech

  • Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
  • Key Industries: Artificial intelligence, Fintech
  • Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
  • Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account