CTO-Track Lead Engineer — AI Risk & Full-Stack

Dex; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

Dex is partnering with a pre-seed company to recruit a hands-on engineer who will build core probabilistic risk models and full-stack software deployed to live bids. The role centers on creating robust risk assessment tools and scalable data pipelines within a startup environment.

You will own end-to-end architecture in Python, implement Monte Carlo simulations, and work directly with the founding CTO and investors to shape the technology roadmap and hiring strategy.

Qualifications

• Deep full‑stack Python experience with deployment of LLM-powered features and data pipelines to production.
• Working background in probabilistic modelling, Monte Carlo simulation, or representation learning over unstructured data.
• Demonstrated early-stage startup experience with end-to-end architecture ownership.
• Strong communication skills interfacing with enterprise customers and investors.

Responsibilities

• Build multimodal representation pipelines extracting and structuring signals from tender packs (drawings, schedules, contracts).
• Develop probabilistic risk models and Monte Carlo simulations calibrated to historical data.
• Own end-to-end full-stack architecture in Python, from data ingestion to customer-facing interface.

Skills

Full-stack Python

LLM features

Probabilistic modelling

Monte Carlo

Startup experience

Communication with enterprise

Tools

Python

Cloud infrastructure

Job description

Dex is partnering with a pre-seed company to recruit a hands-on engineer who will build core probabilistic risk models and full-stack software deployed to live bids. The role centers on creating robust risk assessment tools and scalable data pipelines within a startup environment.

You will own end-to-end architecture in Python, implement Monte Carlo simulations, and work directly with the founding CTO and investors to shape the technology roadmap and hiring strategy.