Data Extraction Specialist - AI

Ohpen; Amsterdam; Hybrid; EUR 60,000 - 90,000; Full time

Job summary

Ohpen seeks a Data Extraction Specialist - AI to advance its document-reading engine for mortgages. You will configure DTA2, build and evaluate AI-based extraction, and provide measurable improvements.

The role emphasizes fast iteration, ownership, and collaboration with product and clients. Based in Amsterdam with hybrid work, you will help transition from rules-based to AI-driven extraction, shaping data quality across DocStreet, DTA2 and Orbis while engaging stakeholders and delivering robust

Qualifications

• Bachelor’s degree in Computer Science, Software Engineering, Data Engineering or equivalent.
• 1–5 years hands-on experience in data extraction, AI or software engineering.
• Ability to explain technical trade-offs to clients and stakeholders.

Responsibilities

• Improve extraction rates across multiple document types and fields.
• Roll out AI/LLM-based extraction within the engine, including prompts and guardrails.
• Design, build, evaluate benchmarks and production rollout for extraction improvements.
• Collaborate with Product, Engineering, Lending Operations and clients to deliver value.

Skills

Analytical thinking

Prompt engineering

Stakeholder communication

Education

Degree in Computer Science / Software Engineering / Data Engineering or equivalent

Tools

Java

AWS

Job description

Data Extraction Specialist - AI

Do you want to teach a bank's document engine to read? Every mortgage application comes with a stack of documents: payslips, employer statements, valuation reports, bank statements and IDs. Our extraction engine automatically turns these documents into structured data that can be used throughout the lending process. Making that engine smarter is one of Ohpen's key objectives for 2026 , as we move from classical extraction rules towards AI/LLM-based extraction . As a Data Extraction Specialist - AI , you'll help drive that transition end-to-end. You'll configure and optimise the engine, build the LLM-based extraction that replaces existing rules, benchmark the results to prove extraction rate.

Ohpen launched the world's first cloud-native core banking platform . Within our Lending Suite , several components work together to process every document that comes in with a mortgage application: DocStreet is our document processing platform. It receives, classifies and routes incoming documents. DTA2 is the data extraction engine within DocStreet. It reads each document and turns it into structured fields, such as income, employer and property value, which our clients' lending processes rely on. Orbis is the engine that executes automated validations on the extracted documents. You'll join our Transformation & Innovation team , working within a small and focused data extraction squad. A small team means high ownership and plenty of opportunity to make an impact.

WHAT YOU WILL DO

Improve extraction rates. Configure and tune DTA2 across different document types and fields, prioritising those that matter most to our clients. Roll out AI/LLM-based extraction. Design, build, evaluate and deploy LLM-based extraction within the engine. This includes everything from prompt design and model selection to guardrails, evaluation sets and production rollout. Prove that it works. Build and maintain the benchmarking loop that shows where extraction has improved, where it has regressed and why. No improvement ships without evidence. Improve the engine itself. Identify and implement engineering improvements across DocStreet, DTA2 and Orbis. Work closely with the people who use it. Collaborate with internal stakeholders across Product, Engineering and Lending Operations, as well as directly with our clients.

You are analytically strong . You pick up new domains quickly and are comfortable being the person who figures out how things actually work. You have a technical engineering background , with a degree in Computer Science, Software Engineering, Data Engineering or a comparable field, and 1-5 years of hands-on experience . You are AI-native . LLMs are a normal part of how you work. You know how to design and iterate on prompts and how to build benchmarks that show whether a change actually helped. You are a proactive self-starter . In a small team, there is no one to wait for. You spot what needs doing, propose it and take ownership of getting it done. You are a strong communicator . You can explain technical trade-offs to clients, respectfully challenge colleagues when needed and keep stakeholders informed without being asked.

NICE TO HAVE

Experience with Java and AWS , as our engine runs on them. Dutch language skills , as most of the documents we extract are in Dutch.

Ownership of a strategic 2026 objective from day one, in a team small enough that your work is visible to both clients and leadership. The opportunity to move a production system used by regulated lenders from rule-based to AI-based extraction . A role at the intersection of engineering, AI and the Dutch mortgage domain . Hybrid working from our office in the heart of Amsterdam. Competitive compensation and benefits .