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London | £100,000 + Equity | Hybrid | 40 hours/week
The Role
Join as one of the first engineers shaping the technical foundations of DeepFlow - the orchestration layer for hybrid human-AI work. You’ll architect and ship systems that don’t just scale, but redefine how businesses operate in the Intelligence Age.
We’re building infrastructure for a $1.5T+ transformation. You won’t just be writing code - you’ll be crafting the infrastructure that agentic systems run on.
What You’ll Do
- Build the backbone. Help design, build, and deploy core platform systems with our CTO - from the UI down to backend orchestration.
- Own end-to-end delivery. You’ll lead full-stack projects, drive technical decisions, and ensure performance, scalability, and reliability from day one.
- Shape the interface between AI and humans. Work closely with the ML team to embed AI agents into workflows.
- Go beyond product tickets. This is a founding role. You'll help steer the roadmap, challenge assumptions, and contribute across engineering, product, and architecture.
- Contribute bold ideas and take initiative to push technical boundaries, driving the platform’s vision forward.
What You Bring
Front-end:
- Building user interfaces using HTML, CSS, and TypeScript
- Working with front-end frameworks like React, Angular, or Vue.js
- Ensuring responsive design and cross-browser compatibility
- Optimising application performance and load times
Back-end:
- Developing server-side logic and APIs in Python and using Django and FastAPI
- Managing and querying databases
- Implementing security measures and authentication
- Working with and maintaining servers and deployment infrastructure
Additional ownership:
- Extensive development and engineering experience
- Strong ability in JavaScript/TypeScript
- Experience with at least two major front-end framework React and one other
- Familiarity with Python and other back-end languages like Java, or Node.js
- Database experience (both SQL and NoSQL)
- Understanding of web protocols and REST APIs
- Optimising applications for scalability
- DevOps knowledge (CI/CD, deployment)
- Experience working in an Agile development environment
- Working in Cloud computing environments
- Experience with ML and LLMs useful
Education and Qualifications (preferred but not essential):
BSc/MSc in Computer Science, Physics, Engineering or equivalent
Prior startup experience - especially early-stage
Why This Role Matters
DeepFlow is not “just another tool.” We’re building the agentic operating system for the next era of work. Most teams are drowning in complexity. We give them a way to scale with clarity and control, not chaos. You’ll help define what that actually looks like, at a system level.
Let’s build something foundational.
Apply now. Let’s move.