Lead Engineer — AI Risk, Full‑Stack Python, CTO Path

Dex; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Dex is partnering with a pre‑seed venture building AI risk intelligence that ingests multimodal tender packs and historic project data to price and track risk. You’ll be the hands‑on engineering anchor alongside a founding CTO and an AI PhD, building core probabilistic risk models and full‑stack software deployed to live bids.

You will own end‑to‑end Python architecture, from data ingestion to a customer‑facing interface, and you’ll scale the platform with clear trajectories toward CTO as you

Qualifications

• Deep full‑stack Python experience with a track record of deploying 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, comfortable taking total end‑to‑end architecture ownership without waiting for a playbook.
• Strong, clear communication skills with the confidence to interface directly with enterprise customers and investors.

Responsibilities

• Build multimodal representation pipelines that extract and structure signal from complex tender packs, including technical drawings, schedules, and contractual terms.
• Develop probabilistic risk models and Monte Carlo simulations calibrated against historical commercial project data.
• Own the end‑to‑end full‑stack architecture in Python, from data ingestion and cloud infrastructure to the customer‑facing interface.
• Drive systems from feasibility testing on public datasets to live back‑testing and deployments on active contractor bids.
• Engage directly with commercial design partners to translate complex risk assessment workflows into robust production software.

Skills

Full‑stack Python

LLM-powered features

Data pipelines

Probabilistic modelling

Tools

Python

Job description

Dex is partnering with a pre‑seed venture building AI risk intelligence that ingests multimodal tender packs and historic project data to price and track risk. You’ll be the hands‑on engineering anchor alongside a founding CTO and an AI PhD, building core probabilistic risk models and full‑stack software deployed to live bids.

You will own end‑to‑end Python architecture, from data ingestion to a customer‑facing interface, and you’ll scale the platform with clear trajectories toward CTO as you