Senior Research Engineer | Cybersecurity AI AppSec
At a glance
Senior AI Research role at Escape Technologies. Paris · full-time.
Pay not stated Research Engineer salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build agents that explore applications, retain context and carry out multi-step security tests
- Create dependable vulnerability checks for issues such as injection, authentication and business logic flaws
- Add language models and structured reasoning to scanning so tests find more issues with fewer false alarms
- Run concurrent scans across Kubernetes and queues, keeping execution fast, reliable and cost-conscious
- Help shape platform choices for memory, execution environments and data structures
What you bring
- At least four years in backend engineering, security research or applied product R&D
- Strong software engineering skills across areas such as systems, networking and web architecture
- Proficiency in a backend language such as Python, Go or a comparable option
- Experience shipping production systems with measurable results and turning complex ideas into scalable implementations
Who this fits
This senior role suits an engineer who can turn research into reliable products and work across engineering and security. The position is hybrid in Paris, with two remote days each week.
From the employer
Location: Paris (75002) | Hybrid (2 days remote/week)
About Escape
Join Escape, a fast-growing leader in AI-powered cybersecurity. Our mission-driven engineering team (21 engineers, 4 technical leads, 3 product owners) is dedicated to redefining application security with cutting-edge detection and automation.
We operate at the forefront of technology and research from our Paris office.
About the Role
As a Senior Research Engineer you will work in a team with talented security researchers. You’ll champion innovation, and ensure research translates into impactful production solutions.
What You'll Do
Agentic scanning systems: Build systems that autonomously explore applications, maintain context, and execute complex testing strategies.
Security detection engine: Design and implement reliable, production-grade vulnerability detection logic (injection, auth issues, business logic flaws, etc.).
AI-driven testing: Integrate LLMs and structured reasoning into scanning workflows to improve coverage and reduce false positives.
Distributed infrastructure: Work on systems that orchestrate thousands of concurrent scans (Kubernetes, queues, resource management).
Performance & reliability: Ensure scans are fast, deterministic, and cost-efficient despite high complexity and concurrency.
Core platform design: Contribute to architecture decisions around memory systems, execution environments, and data models.
Our Tech Stack & Focus
Languages: Python (primary), Go (performance/network components)
Runtime: Containerized workloads on Kubernetes (EKS), supporting long and resource-intensive scans
Scaling: Kubernetes Jobs & queue-driven autoscaling
Web Automation: Playwright + headless Chromium
Data: PostgreSQL, S3-compatible object storage, Redis (limited use)
Messaging: Kafka
Observability: OpenTelemetry, Grafana Cloud
CI/CD & Infra: GitLab CI, Terraform
Perks & Benefits
💸 Significant equity (Stock Options/BSPCE) – become a core stakeholder in Escape’s journey
❤️🩹 Top-tier health insurance with Alan
🍕 Meal vouchers with Swile
💪 EGYM Wellpass sport subscription
📚 Continuous learning: budgets for books and online courses
💻 Premium equipment to support your work
🎁 Dedicated time for open-source projects
🌍 Present research at top international conferences (RSAC, BlackHat, DEFCON, BSides, APIDays)
About You
4+ years of experience in backend engineering, security research, or applied R&D in a product environment
Strong software engineering fundamentals and ability to work across domains (systems, networking, web architectures)
Proficient in at least one backend language (Python, Go, or similar)
Experience designing and shipping production systems with measurable impact
Ability to translate complex ideas or research into reliable, scalable implementations
Strong analytical mindset, with a focus on pragmatism and impact
Comfortable collaborating across engineering and security to deliver end-to-end solutions
Nice to have:
Experience in application security (web security, pentesting, bug bounty, etc.)
Exposure to AI/LLM-based systems
Familiarity with browser automation or large-scale distributed systems
Ready to lead the next wave of AI-powered vulnerability detection? Apply now to join Escape and make a real impact in cybersecurity!