Lead Software Engineer
Open
Remote-first · Cape Town preferred
Full-time
Highly competitive + equity
Architect and ship custom AI solutions end to end, partner directly with clients on transformation, and lead a small pod of engineers building the systems that change how a business runs.
What you'll do
- Architect and deploy custom AI solutions end to end
- Partner directly with clients on transformation strategy
- Lead a small team of 2–3 engineers
- Monitor and improve production AI systems
What we look for
- 6+ years building software at scale
- Expert in React, TypeScript, API design, and cloud platforms
- LLM engineering, including RAG implementations
- Full-stack capability across frontend and backend
Bonus points
- DevOps experience
- Vertical expertise in finance, healthcare, or field services
- Multi-modal LLM or voice processing background
- Founder or early-stage startup experience
Not the right fit if you're early in your career, you'd rather avoid client contact, you need constant direction, or you optimise for elegant code over real value.
AI Engineer (Contract)
Open
Remote · Flexible
Contract
20–40 hrs / week
Design and deliver generative-AI solutions, turn ideas into working proofs of concept, and optimise models for production alongside a senior team.
What you'll do
- Design and deliver generative-AI solutions
- Run technical assessments and build proofs of concept
- Optimise models for production
- Review code and mentor others
What we look for
- Strong generative-AI and LLM experience
- RAG systems development
- Building AI assistants and chatbots
- Next.js, TypeScript, and Python for AI/ML
- AI evaluation methodologies
Bonus points
- n8n / Make.com automation
- React
- Voice agents
Data Scientist
Filled
Remote
16-week contract · 4 days/week
AI prioritisation model · debt collections
A recent engagement: building and validating an AI prioritisation model for debt collections, end to end — from data discovery to a monitored production API. Shown here as a sample of the work we take on.
What it involved
- Develop and validate the ML model
- Build the data pipeline and production API
- Implement monitoring and reporting
- Analyse KPIs and make strategic recommendations
What it took
- ML model development experience
- Data discovery and engineering pipelines
- Performance monitoring and reporting
- Collaborative architecture design