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This is for someone who likes building the whole slice. A customer uploads a bank statement. The backend queues it, processes it, scores it and stores the result. The dashboard has to show what happened, what looks suspicious and what the customer should do next. You'd work across that path instead of being boxed into one layer.

Key Responsibilities:

You'd build features across the React dashboard and FastAPI backend: upload improvements, document detail pages, API key management, team workflows, result explanations, plan limits and customer-facing settings. You'd care about whether a compliance analyst can read the page and make a decision without asking support what the score means.

You'd also tighten the seams between systems. The dashboard uses React 18, MUI, Redux Toolkit, Axios and i18next. The backend uses Python, FastAPI, DynamoDB, S3, SQS, Firebase auth and Stripe. Some work will be greenfield. Some will be cleaning up old assumptions that no longer match the product.

The job is practical. If a workflow is confusing, you should be able to trace the API, fix the response shape, adjust the UI and write the test. You do not need permission from five teams to improve the product.

Requirements:

• 4+ years building production web applications
• Strong React and Python experience
• Comfortable working across frontend, API, persistence and background jobs
• Good product judgment. You can make a complex workflow feel simple without hiding the facts
• Experience with payments, auth, document workflows or B2B SaaS is useful
• You write tests for the parts that would hurt if they broke
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $80,000 - $115,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

VerifyPDF needs a stronger platform around the fraud engine. The API is live, customers submit real documents, the worker tier processes them asynchronously and the system has to explain what happened later. This role is about making that machinery more reliable, observable and easier to improve.

Key Responsibilities:

You'd work on the infrastructure around document processing: SQS workers, retry behavior, DLQs, S3 storage paths, DynamoDB access patterns, usage counters, webhook delivery, Sentry signals and operational tooling. The work is part backend engineering, part platform engineering and part "why did this customer's file behave differently from every other file today?"

You'd also build the trust infrastructure around AI: eval runs, regression checks, model output logging, safe rollouts and dashboards that make failures obvious. If a model, OCR step or PDF parser starts drifting, we should know before a customer does.

There is a lot of room to make things cleaner. Some parts are already solid. Some are held together by production scars. We want someone who can improve the system without pretending a rewrite is the only respectable answer.

Requirements:

• Strong Python backend or platform engineering experience
• Good AWS experience, especially SQS, S3, Lambda, DynamoDB, CloudWatch or Elastic Beanstalk
• Comfortable with queues, idempotency, retries, monitoring and failure analysis
• Experience with ML/AI infrastructure, evals or document pipelines is a plus
• Able to make pragmatic improvements inside an existing production system
• Security instincts around customer files, secrets and operational access
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $90,000 - $125,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

This is the EMEA field engineering role we actually need. Customers do not buy document verification in the abstract. They have an onboarding flow, a lending process, a claims queue, a tenant screen or a compliance review that already exists. Your job is to understand that workflow, build the missing pieces and bring the useful patterns back into VerifyPDF.

Key Responsibilities:

You'd lead technical discovery with customer teams, scope integrations, build prototypes and take the serious ones into production. That could mean a webhook flow for a lender, API test-mode tooling for a fintech, a dashboard workflow for a compliance team or a small internal tool that proves where fake documents are slipping through.

You'd write production code across Python and React when that is the fastest way to make progress. You'd also know when not to build. Sometimes the right answer is better documentation, a safer API response, a clearer result page or a blunt conversation about what the customer is trying to automate.

You'd feed what you learn back into product and engineering. If three customers need the same integration pattern, it should become a reusable capability. If a fraud signal makes sense to our engineers but not to a risk analyst, the product needs clearer evidence, not more jargon.

Requirements:

• 5+ years of software engineering or technical deployment experience
• Strong Python and JavaScript or TypeScript skills
• Comfortable speaking with customer engineers, operators and decision-makers
• Able to scope ambiguous work, make tradeoffs and ship without a big team around you
• Experience with APIs, webhooks, auth, data mapping and production debugging
• Background in fintech, regtech, fraud, identity, insurance or lending is a plus
• Willing to travel occasionally for strategic customer work across EMEA

What We Offer:

• $90,000 - $130,000 (based on experience) + performance bonuses
• Remote-first for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

This is the North America field engineering role we actually need. Customers do not buy document verification in the abstract. They have an onboarding flow, a lending process, a claims queue, a tenant screen or a compliance review that already exists. Your job is to understand that workflow, build the missing pieces and bring the useful patterns back into VerifyPDF.

Key Responsibilities:

You'd lead technical discovery with customer teams, scope integrations, build prototypes and take the serious ones into production. That could mean a webhook flow for a lender, API test-mode tooling for a fintech, a dashboard workflow for a compliance team or a small internal tool that proves where fake documents are slipping through.

You'd write production code across Python and React when that is the fastest way to make progress. You'd also know when not to build. Sometimes the right answer is better documentation, a safer API response, a clearer result page or a blunt conversation about what the customer is trying to automate.

You'd feed what you learn back into product and engineering. If three customers need the same integration pattern, it should become a reusable capability. If a fraud signal makes sense to our engineers but not to a risk analyst, the product needs clearer evidence, not more jargon.

Requirements:

• 5+ years of software engineering or technical deployment experience
• Strong Python and JavaScript or TypeScript skills
• Comfortable speaking with customer engineers, operators and decision-makers
• Able to scope ambiguous work, make tradeoffs and ship without a big team around you
• Experience with APIs, webhooks, auth, data mapping and production debugging
• Background in fintech, regtech, fraud, identity, insurance or lending is a plus
• Willing to travel occasionally for strategic customer work in the US and Canada

What We Offer:

• $100,000 - $145,000 (based on experience) + performance bonuses
• Remote-first for applicants in the United States or Canada
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

This is for someone who likes making a product useful after the sale. Customers come to VerifyPDF with a real workflow: onboarding borrowers, screening tenants, reviewing claims or checking financial documents. Your job is to understand what a successful rollout means for them, help them get there and make sure the product keeps earning its place.

Key Responsibilities:

You'd own onboarding and adoption, from the first handover through regular account reviews. That means agreeing on practical milestones, helping teams understand fraud signals and following up when usage stalls. You should be able to explain what the product checks and where a human still needs to make the decision, without turning a risk score into a guarantee.

You'd work with our Forward Deployed Engineers when a customer needs an integration, a new workflow or technical troubleshooting. You do not need to write the integration yourself, but you should be able to understand the problem, keep the customer informed and make sure the right person is working on it. Repeated questions should become better documentation or product feedback, not another recurring meeting.

You'd also own renewals and expansion conversations. That means knowing which accounts are getting value, spotting risks early and recommending a larger plan when the customer's usage and needs justify it. We want durable customer relationships, not promises that engineering has to untangle later.

Requirements:

• 3+ years in B2B SaaS customer success or account management
• Experience owning onboarding, adoption, renewals and expansion
• Comfortable working with technical products and discussing APIs and integrations
• Able to explain complex information clearly to operators and decision-makers
• Good judgment around customer priorities, escalation and commercial conversations
• Background in fintech, regtech, fraud, compliance or document workflows is a plus
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $65,000 - $90,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

You'd own a large part of what customers see when they use VerifyPDF: the upload flow, document history, API key management and the screens that explain why a PDF looks risky. The dashboard is React 18, Vite, MUI, Redux Toolkit, React Router, Axios, motion and i18next. This marketing site is Astro 6 with React islands, so there is also room to improve the public product experience when it matters.

Key Responsibilities:

You'd ship product UI that people rely on while reviewing sensitive documents. That means upload states that do not lie, result pages that explain fraud signals clearly and account screens that make quotas, billing and API usage easy to understand.

You'd work close to the FastAPI backend and public REST API. The frontend has to handle async document processing, polling, errors, retries and edge cases around large files without turning the interface into a mess. Accessibility and performance matter because customers use this during live operations, not as a toy demo.

You'd also clean up older frontend areas as you touch them. Some screens need sharper state handling, better tests and less copy-paste. We support multiple languages through i18next, so text, layout and date handling need to survive outside English.

Requirements:

• 4+ years of professional React experience
• Comfortable with React Router, Redux Toolkit or similar state management
• Strong API integration instincts: loading states, failures, retries and auth flows
• Good CSS judgment and enough design taste to make complex screens readable
• Experience with accessibility, responsive layouts and frontend testing
• Familiarity with i18next or another internationalization setup
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $70,000 - $95,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

You'd work on the backend that takes a PDF from upload to fraud verdict. The core stack is Python, FastAPI, DynamoDB, S3, SQS, Elastic Beanstalk, Firebase auth, Stripe and a handful of Python Lambdas for scheduled and event work. The product looks simple from the outside. Under the hood it has quotas, async processing, webhooks, test-mode API keys, uploads, thumbnails, emails and a fraud pipeline with more than 50 indicators.

Key Responsibilities:

Your main focus would be the public API and dashboard API. You'd improve request handling, quota enforcement, document status polling, webhook delivery and the worker path that processes documents from SQS. Small reliability fixes count here. A one-line idempotency bug can cost real money or send a customer the wrong signal.

You'd work in the fraud detection pipeline too: metadata extraction, PDF structure checks, OCR fallbacks, OpenAI classification, SageMaker inference and the scoring models that become fraud risk, trust score and risk band. You do not need to be a PDF forensics expert on day one, but you should like systems where the details matter.

You'd also own production hygiene: tests, logging, Sentry, slow paths, bad retries and the boring safeguards that stop queues, S3 writes and billing counters from drifting apart.

Requirements:

• 3+ years of backend engineering experience with Python
• Production FastAPI, Starlette or similar API framework experience
• Hands-on AWS experience, especially S3, SQS, Lambda, DynamoDB or Elastic Beanstalk
• Good judgment around auth, secrets, uploads, rate limits and input validation
• Comfortable debugging distributed failures across API, queue, worker and storage layers
• Experience with tests, monitoring and incident follow-up
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $75,000 - $100,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam

This role sits close to the part of VerifyPDF that matters most: deciding whether a submitted document can be trusted. We already check metadata, PDF structure, fonts, incremental updates, suspicious producers, OCR output, visual signals and template matches. We want someone who can make those signals better, test them properly and turn messy evidence into a verdict customers can understand.

Key Responsibilities:

You'd work on document classification, signal extraction, evaluation sets, prompt and model behavior, false-positive review and the scoring path that produces trust scores and risk bands. Some weeks this is applied ML. Some weeks it is reading strange PDFs, finding why our pipeline missed something and writing the fix yourself.

You'd build tools that make fraud analysis less subjective: repeatable evals, regression tests for known fraud patterns, better evidence summaries and safer fallbacks when OCR or model output is weak. You'd work with Python, FastAPI, pdfplumber, pdfminer, PyMuPDF, OpenAI, SageMaker inference, scikit-learn and the existing PDF forensics code.

You'd also help decide when AI should not be used. If a deterministic PDF check is more reliable than a model, we should use the deterministic check. The goal is not to add AI everywhere. The goal is to catch more fraud and explain the result better.

Requirements:

• Strong Python engineering skills
• Experience shipping applied ML, LLM, computer vision, OCR or document-processing systems
• Comfortable designing evals and reading failure cases instead of trusting a demo
• Good instincts around precision, recall, thresholds and customer-facing explanations
• Experience with PDF parsing, fraud, compliance, fintech or identity verification is a plus
• Willing to work with unglamorous edge cases until the system behaves
• Comfortable working alone most of the day. We're async-first.

What We Offer:

• $85,000 - $120,000 (based on experience) + performance bonuses
• Fully remote for applicants in the Netherlands, Spain, Germany, France, Portugal, Italy, Belgium, Poland, Romania or the United Kingdom
• Stock options
• 26 days paid vacation
• ThinkPad X1 Carbon laptop provided
• Co-working space budget (WeWork or similar)
• Yearly team meetup in Amsterdam