Full-Stack Engineer - Workflow & Systems Integration SC Cleared

Full-Stack Engineer – Workflow & Systems Integration (SC Cleared) - AI Start up

Role: Full-Stack Engineer – Workflow & Systems Integration Type: Permanent Location: London (Hybrid – on-site commitment expected during early stages)Clearance: Must be eligible for SC Clearance Sector: Early-phase AI Start-up (regulated data environments)

Compensation package: Opened to conversations + equity in the organisation

Overview An early-stage AI start-up is seeking a Full-Stack Engineer to build the internal backbone underpinning AI-driven workflows, RMS integrations, and secure data operations. This is a hands-on engineering position ideal for someone who enjoys early-phase product building, systems design, and rapid iteration in a regulated-data environment.

Key Responsibilities:

• Build backend services using Python (FastAPI, async frameworks, Pydantic).
• Develop and maintain event-driven workflows and orchestration logic.
• Design and implement API integrations with internal and external systems, including RMS/ATS platforms.
• Create and manage data schemas, validation processes, and secure handling pipelines.
• Develop lightweight user/admin interfaces to support internal operational workflows.
• Contribute to architectural decisions, scalability planning, and core technical strategy.
• Apply best practice for regulated data handling and secure engineering standards.

Must-Have Experience:

• Strong Python engineering experience, including FastAPI, async programming, and Pydantic.
• Proven experience working in start-ups (seed to early-growth mandatory).
• Experience working with regulated or sensitive data (healthcare, government, legal tech, defence, etc.).
• Understanding of secure development, data governance, and compliance-aligned engineering.
• Eligibility for Security Check (SC) Clearance.

Nice to Have:

• UI automation experience for integrating with legacy or non-API-native systems.
• Knowledge of workflow engines, orchestration tools, or ETL pipelines.
• Front-end development exposure (React, TypeScript, or similar).
• Experience building AI-driven, data-intensive, or workflow-heavy platforms.

Offer & Environment

• Opportunity to join at foundational stage and influence architecture, engineering culture, and product direction.
• Close collaboration with a technical founding team solving complex workflow and data challenges.
• Competitive compensation with potential early-employee benefits.
• Hybrid London working with structured on-site collaboration during the initial build phase.