Forward-Deployed AI Engineer (Investment Lifecycle)

CIP Fund Solutions

København

On-site

DKK 700,000 - 1,100,000

Full time

2 days ago
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Job summary

CIP Fund Solutions in Copenhagen, Denmark is seeking a Forward Deployed Engineer to join the Digital & AI team. You will design, build and run production AI systems supporting CIP’s investment lifecycle, handling data rooms, contracts, and financial models.

The role emphasizes robust engineering standards and scalable solutions across teams. Ideal candidates have 5–8 years in software engineering, with at least two years in LLM-powered production systems, Python and TypeScript/C#, and strong

Qualifications

  • Degree in Computer Science or Software Engineering and 5–8 years of software experience.
  • At least two years building LLM-powered systems in production.
  • Proficient in Python and TypeScript or C#.
  • Hands-on with retrieval-augmented generation and model evaluation.

Responsibilities

  • Design, build and operate production AI systems for the investment lifecycle.
  • Develop retrieval, document-processing and agent workflows over data rooms, contracts, due diligence reports and financial models.
  • Define evaluations to test accuracy against CIP-specific benchmarks.
  • Implement access control, data segregation and audit trails from day one.
  • Collaborate with IT and Security to run solutions as supported services.

Skills

Python
TypeScript
C#
LLM-powered systems
Retrieval augmented generation
Data security
Azure cloud

Education

Bachelor's in Computer Science/Software Engineering
Master's preferred

Tools

Azure
Microsoft 365
Security tooling

Job description

CIP Fund Solutions in Copenhagen, Denmark is seeking a Forward Deployed Engineer to join the Digital & AI team. You will design, build and run production AI systems supporting CIP’s investment lifecycle, handling data rooms, contracts, and financial models.

The role emphasizes robust engineering standards and scalable solutions across teams. Ideal candidates have 5–8 years in software engineering, with at least two years in LLM-powered production systems, Python and TypeScript/C#, and strong

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