# Founding Engineer

> Canonical: https://www.overmindlab.ai/careers/founding-engineer

The Founding Engineer will be a senior member of the founding engineering team, responsible for designing and building the core machine learning and security systems that power our platform.

| Detail | Value |
| --- | --- |
| Type | Full Time |
| Location | London |
| Salary | £100,000 - £145,000 |
| Level | Senior |

## Skills

- Deployment Velocity (10/100)
- Flow State (7/100)
- Bug Smelling (9/100)

This role involves hands-on technical work across the full stack of our product, from data ingestion and real-time inference pipelines to anomaly detection models and customer-facing integrations.



### Specific Responsibilities

1. **Behavioural Analysis Models:** Design and implement machine learning models that analyse AI agent activity in real time, identifying patterns of normal and anomalous behaviour across customer deployments.
2. **Anomaly Detection Systems:** Build and refine detection systems that identify security threats, policy violations, and unexpected behaviours in autonomous AI systems, with a focus on minimising false positives in production environments.
3. **Inference Pipeline Development:** Architect and optimise low-latency inference pipelines capable of processing high volumes of event data from customer AI agents, ensuring sub-second response times for security alerts.
4. **Platform Integration:** Collaborate with the CTO and other engineers to integrate ML components into the core security platform, ensuring seamless operation with monitoring dashboards, alerting systems, and compliance reporting tools.
5. **Customer Technical Engagement:** Work directly with enterprise customers and design partners to understand their security requirements, translating business needs into technical specifications and implementation plans.
6. **Architecture and Technical Leadership:** Contribute to architectural decisions as a senior member of the founding team, helping to establish technical standards, development practices, and infrastructure choices that will scale with the business.
7. **Compliance and Security Requirements:** Ensure all systems meet the security and compliance standards required by customers in regulated industries, including data handling, audit logging, and access controls.

### Technical Environment

- **Languages:** Python (primary), with potential use of Go or Rust for performance-critical components
- **ML Frameworks:** PyTorch, TensorFlow
- **Infrastructure:** AWS/GCP, containerised deployments (Docker, Kubernetes)
- **Data Processing:** Real-time streaming architectures, time-series databases
- **Security:** Familiarity with threat modelling, secure development practices, and compliance frameworks

### Required Qualifications and Experience

- Degree in Computer Science, Machine Learning, or a related field (or equivalent practical experience)
- Minimum 5 years of experience designing and building production machine learning systems
- Strong proficiency in Python and modern ML frameworks (PyTorch or TensorFlow)
- Experience with real-time inference systems and low-latency data pipelines
- Demonstrated ability to work autonomously and take ownership of complex technical problems

### Desirable Experience

- Understanding of security concepts and threat modelling
- Experience with distributed systems and cloud infrastructure (AWS/GCP)
- Familiarity with AI agent architectures and autonomous systems
- Prior experience in a startup or early-stage company environment

**Apply:** https://www.notion.so/317f7c20a14380278f1ffea07003ac35?pvs=106

All roles: https://www.overmindlab.ai/careers