AI Software Engineer
Founders Factory is a venture studio, accelerator, and investment platform that builds and funds early-stage startups. It supports founders with capital, operational expertise, corporate partnerships, and access to a global network.
Maintainer signals as of 9/25/2026
About Founders Factory
Founders Factory partners with entrepreneurs and leading companies to co-found new ventures, accelerate startups, and invest in early-stage businesses. Its activities include venture building, cohort-based accelerator programs, sector-focused investment funds, operational support, and corporate innovation partnerships across fintech, health, industrials, deep tech, and climate. It serves ambitious founders, corporate partners, and early-stage technology startups.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build data labelling, processing, versioning, and training-data pipelines for multimodal clinical data. You will create an automated evaluation harness for vision-language and NLP models. You will also design a clinical knowledge database, map medical terminologies, extract entities from clinical documents, and work with clinicians on safe, practical workflows.
Requirements
- Python and data engineering experience
- Experience shipping production data or machine-learning pipelines
- Experience building machine-learning evaluation frameworks, benchmarks, or test harnesses
- Experience with data labelling, annotation tooling, and quality control
- Database and data-modelling knowledge
- NLP experience with entity extraction, entity linking, or document parsing
- Experience handling sensitive data under data-protection and clinical-safety constraints
Responsibilities
- Design data-labelling schemas, guidelines, tooling, and quality checks
- Build reproducible pipelines to ingest, clean, de-identify, and transform multimodal data
- Structure, version, and catalogue video datasets
- Prepare documented training, validation, and test datasets
- Build an automated evaluation harness for vision-language and NLP models
- Design the clinical knowledge-base schema and data store
- Ingest and map TC3, SNOMED CT, ICD-10, and NHS standards
- Extract entities and relationships from clinical text
- Parse clinical documents into the database
- Work with clinicians to reflect clinical reasoning and pre-hospital workflows
Benefits
- Permanent employment option with shares
- Flexible consultancy agreement option with a competitive day rate