Verifoxx
AI Integration Engineer
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Location
UK-based only (this is non-negotiable)
100% remote
Type
Full-time employee.
No subcontractors.
About Verifoxx
Verifoxx builds privacy-preserving, policy-governed and sovereign AI infrastructure for sensitive environments. Our work sits at the intersection of AI systems, secure runtimes, distributed infrastructure, policy execution and verifiable trust. We design systems that allow intelligence to operate under bounded evidence, constrained disclosure and real-world operational controls.
We are looking for an AI Integration Engineer to help turn advanced internal R&D into deployable capability. This is a hands-on engineering role for someone comfortable working across system integration, runtime environments, deployment workflows, validation environments and AI-adjacent infrastructure.
Role summary
You will work across the integration layer of Verifoxx’s platform: connecting runtime components, packaging deployable services, wiring together policy-aware execution paths, supporting distributed test environments, and helping move research-grade capability into robust technical delivery.
This is not a pure backend API role and not a pure ML modelling role. It is best suited to an engineer who enjoys operating between systems engineering, integration, runtime infrastructure and AI-enabled platform delivery.
What you will do
- Integrate platform components across local runtimes, distributed services and validation environments
- Build and maintain deployable engineering artefacts for secure and constrained execution settings
- Support orchestration, configuration, packaging and environment setup across Linux-based systems
- Help connect policy-aware logic, runtime evidence, verification flows and downstream system behaviour
- Build reproducible test and validation workflows across distributed nodes and degraded network conditions
- Improve engineering robustness, observability, repeatability and deployment readiness
- Work closely with the CTO and core engineering team to convert technical R&D into integrator-ready capability
- Contribute to internal tooling, benchmark harnesses, deployment scripts and technical documentation
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
What we are looking for
- Strong software engineering fundamentals
- Experience in systems integration, infrastructure engineering, platform engineering or runtime-focused backend work
- Strong Linux experience
- Good understanding of distributed systems and deployment environments
- Comfortable debugging across multiple layers: application, runtime, networking and system behaviour
- Experience writing production-quality code in one or more of Python, Go, Rust, C++ or similar
- Ability to work in ambiguity and help shape engineering structure around emerging technical products
Strongly preferred
- Experience with WebAssembly, sandboxed runtimes or constrained execution environments
- Experience with secure or policy-sensitive systems
- Familiarity with containers, microVMs or hardened execution environments
- Experience with ARM/Linux edge deployments
- Experience with benchmark, replay, fault-injection or systems validation tooling
- Exposure to AI infrastructure, agentic systems, or policy-governed AI workflows
Get help with your application
Your very own career expert that helps elevate your application to the next level.
What success looks like
- Internal R&D components become cleaner, more deployable and easier to integrate
- Distributed test and validation environments become robust and repeatable
- Runtime and policy-aware components are packaged in a way external integrators can actually use
- Engineering delivery becomes more structured without losing technical depth
- Verifoxx is better able to move from prototype capability to deployable product
Who this role suits
This role suits someone who likes difficult technical systems, enjoys working close to the runtime/infrastructure boundary, and is excited by building serious AI-era engineering rather than generic SaaS plumbing.
Why join Verifoxx
You will work on technically demanding problems with real-world product impact, in a small team where you can influence architecture, delivery and future platform direction directly.
Benefits
- Salary DOE
- Unlimited annual leave
- Fully Remote
- Flexible Working
- Pension Scheme
- Training and Development budget
Equality, Diversity and Inclusion
At Verifoxx, we believe that everyone should feel valued and respected. We have a diverse founding team in terms of gender and ethnicity, and we want to replicate this in our wider team as we grow. We strongly think that having a diverse, balanced and equal workforce equates to a happier and more successful company. We celebrate individuality and value uniqueness. Our company culture is based on transparency and honesty. We celebrate equality; we want you to feel that you can be your authentic self.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location