Senior AI-Native Engineer for Open-Source Cybersecurity

Filigran; United Kingdom; Remote; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity

Remote-friendly

25 days PTO

Volunteer days

Home office setup

In-person meetups

Job summary

Filigran is seeking a Senior Software Engineer who champions AI-native software development in a remote-first, global team. You will shape how we deploy AI-assisted coding, set engineering standards, and drive cross-team adoption with tangible outcomes.

As an engineer first, you will experiment with tools, measure impact on velocity and quality, and share learnings publicly. You will work across the XTM Foundation to build reusable AI components for all product teams.

Qualifications

• 7+ years of software engineering experience with an AI-first mindset.
• Experience deploying AI-assisted development practices within an engineering team.
• Proficient with current AI coding tooling and open-source workflows.
• Strong full-stack engineering background with ability to contribute code when needed.

Responsibilities

• Define and own Filigran's AI-Native engineering strategy and workflows.
• Run structured experiments evaluating AI coding tools and agents; translate findings into recommendations.
• Build guardrails and standards to ensure maintainable, tested AI-generated code.
• Collaborate with product engineering teams to embed AI practices into daily workflows.
• Share learnings through talks, workshops, and demos; demonstrate real results.
• Stay ahead of AI tooling landscape and surface what's relevant for the team.
• Turn AI practices into reusable building blocks across product teams.

Skills

Software engineering

AI tooling

Open-source

Full-stack

Remote collaboration

Education

Bachelor's degree in CS

Tools

GitHub Copilot

MCP servers

LLM tooling

Code review tools

Job description

Filigran is seeking a Senior Software Engineer who champions AI-native software development in a remote-first, global team. You will shape how we deploy AI-assisted coding, set engineering standards, and drive cross-team adoption with tangible outcomes.

As an engineer first, you will experiment with tools, measure impact on velocity and quality, and share learnings publicly. You will work across the XTM Foundation to build reusable AI components for all product teams.