This is the first dedicated security role, so the person must set the security agenda from scratch rather than follow an existing program. The work spans threat modeling, secure design, cloud and application hardening, tenant isolation, data protection, and building detection and incident response. A strong candidate has years of production engineering behind them, has run secure cloud services at scale, and has personally carried a company through SOC 2 in a regulated setting.
How it fits the AI era
Large language models and agent workflows sit at the center of the product, so the role includes securing those systems: guarding against prompt injection, stopping data from leaking through models, and deciding what actions agents may take. The security fundamentals of identity, secrets, network, and data protection stay human owned and do not change. What shifts is that the threat model now includes model behavior and agent permissions, and the tooling around detection and monitoring has to keep pace with fast prototyping.
How it builds AI experience
The role offers direct work on securing LLM and agentic systems, from guardrails to action limits, which is still uncommon hands on experience. Building it means learning how prompt injection and model data leakage actually play out, and pairing that with the compliance side the company needs for defense and aerospace customers. Familiarity with the company's TypeScript, Python, and LLM orchestration stack would help, since security reviews touch those services.
Worth showing
- Threat modeling
- Cloud security AWS GCP Azure
- SOC 2 implementation
- Securing LLM systems
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Flow Engineering
Per the company, Flow Engineering provides requirements management and AI agents for hardware engineering teams.
#J-18808-Ljbffr
Staff Software Engineer - Security employer: present of AI
H Company is an exceptional employer for Product Designers, offering a dynamic work environment in London where innovation meets collaboration. With a strong focus on employee growth, the company encourages continuous learning and experimentation, particularly in the evolving field of AI design. The inclusive culture fosters open communication with users and cross-functional teams, ensuring that every designer's voice is heard and valued, making it a truly rewarding place to advance your career.
