AI/ML Engineer

The Opportunity:

We need brilliant minds who can solve hard problems. We are building a small but mighty AI/ML team that's transforming how financial institutions handle compliance. This isn't about building flashy demos -- we're creating real solutions that keep our customers out of trouble with regulators while saving them countless hours of manual work.

What you will do:

• Prototype GenAI components including vector search, retrieval-augmented generation, and lightweight LLM fine-tuning, then move promising ideas into production

• Write clear Python code, test it thoroughly, benchmark against real data, and iterate to improve performance

• Work in short release cycles: design review → code → deploy → monitor → fix

• Collaborate with product, DevOps, and domain specialists to translate compliance requirements into working code

  
  

Working at Facctum:

We ship compliance tech that banks rely on. Teams are small; decisions move fast; code earns its keep only when it runs in production.

• Work mode: Hybrid by default (few days from office and work from office on remaining days). Fully onsite or remote considered for the right person.

• Growth: Mentorship from senior engineers, hands-on exposure to cutting-edge GenAI, and visibility across the entire product lifecycle.
  

Requirements

Skills and experience we need:

• 2-3 years hands-on machine-learning development in Python

• Solid grasp of data structures, algorithms, and basic statistics

• Familiarity with a deep-learning toolkit (PyTorch, TensorFlow, or similar)

• Exposure to LLMs and related tooling (LangChain, LlamaIndex, etc.) and vector databases

• Comfort with Git and CI/CD basics

• Nice to have: AWS experience (we host and orchestrate on AWS), but it isn't mandatory