Symbiotic Security

About the Company

We secure AI coding at every step. From the first prompt to the final push, we enforce policy before code is written, instantly fix vulnerabilities after it’s created, and educate developers to build critical security thinking. Whether you’re vibe coding, accelerating with copilots, or scaling into agentic workflows, we deliver AI-native security that keeps you compliant, fast, and secure.

Listed Jobs

Company Name

Symbiotic Security

Job Title

AI Engineer

Job Description

**Job title** AI Engineer **Role summary** Design, develop, and ship AI‑driven security features that automatically detect, remediate, and teach developers about vulnerabilities in real‑time IDE and CI/CD pipelines. Work closely with product, backend, and data teams to move from PoC to production, ensuring rigorous testing and measurable improvements. **Expectations** - Junior to mid‑level engineer with strong Python and software engineering fundamentals. - Comfortable working in a cross‑functional product engineering environment, delivering production‑grade code quickly. - Demonstrated ability to build and maintain automated evaluation pipelines and production metrics. **Key responsibilities** - Implement AI capabilities (LLMs, RAG, agent‑based assistants) using Python 3.12, AWS Bedrock, LangChain, and LLM proxies. - Detect and fix security flaws in IDE and CI/CD pipelines; create fixes that are suggested and applied automatically. - Securely handle code data, build synthetic datasets of good/bad code, and curate training data for continuous model improvement. - Develop systems that mitigate vulnerabilities introduced by generative tools such as GitHub Copilot. - Create and maintain rigorous testing and evaluation frameworks to measure model performance and remediation quality. - Collaborate with backend engineers (PostgreSQL, hexagonal architecture) and the CTO to scale solutions to production. - Participate in code reviews, CI/CD, and production monitoring to ensure high reliability. **Required skills** - Mastery of Python, clean code principles, and unit/integration testing. - Hands‑on experience with large language models (LLM) – retrieval‑augmented generation, agent orchestration, systematic evaluation. - Familiarity with AWS services (Bedrock, related compute/storage). - Knowledge of relational databases (PostgreSQL) and modern architecture patterns (hexagonal, event‑driven). - Ability to design synthetic data pipelines and evaluate AI models quantitatively. - Strong communication in English and French (full professional proficiency). **Required education & certifications** - Bachelor’s or Master’s degree in Computer Science, Engineering, or a related rigorous scientific field. - Preferably from a top‑tier institution or equivalent experience. - No mandatory certifications, but knowledge of cybersecurity fundamentals and LLM frameworks is a plus.

Paris, France

Hybrid

20-01-2026