Member of Technical Staff (Security)

About Contextual AI

Were revolutionizing how AI Agents work by solving AIs most critical challenge: context. The right context at the right time unlocks the accuracy and production scale that enterprises leveraging AI require. Our enterprise AI development platform sits at the intersection of breakthrough AI research and practical developer needs. Our end-to-end platform allows AI developers to easily and accurately ingest and query documents from enterprise data sources and easily embed retrieval results into their business workflows.

Contextual AI was founded by the pioneers of Retrieval-Augmented Generation (RAG) the foundational technique behind the context layer connecting foundation models to current and relevant by the industrys most forward-thinking venture capitalists were not just participating in the enterprise AI revolution were defining it. Join us in building a future where AI doesnt just answer questions it transforms businesses.

Job Overview

As a Security Software Engineer you will be responsible for building core product features while bringing deep security expertise to every aspect of development in our AI systems and platforms. This is primarily a software engineering role that requires substantial security knowledge - youll develop customer-facing features while ensuring our platform maintains the highest security standards. Your work will directly impact platform functionality with security considerations integrated into everything you build. This role offers an exciting opportunity to be at the forefront of cybersecurity in the rapidly evolving field of artificial intelligence.

What youll do:

- Write production code for security features including authentication systems authorization frameworks encryption services and data privacy controls.

- Design and implement security architecture for our AI systems including authentication access controls and identity management.

- Collaborate with the Engineering team to ensure features released are secure by design.

- Collaborate with cross-functional teams to integrate security into the software development lifecycle and DevOps processes.

- Educate and train engineering and product teams on security best practices policies and procedures.

What we are seeking:

- Bachelors or Masters degree in Computer Science Information Security or a related field.

- Strong software engineering skills with security expertise with 5 years of production experience and proficiency in programming languages such as Python Java or C/C.

- Deep understanding of cybersecurity principles practices and technologies.

- Experience implementing security features in production systems including auth systems (e.g. SSO RBAC OAuth) encryption and secure APIs.

- Familiarity with Kubernetes security concepts (e.g. network policies secrets management) and security features of at least one major cloud platform (GCP AWS or Azure).

- Proven ability to work effectively in an engineering team environment with code reviews testing and CI/CD practices.

- Track record of delivering product features in fast-paced environments.

- Knowledge of compliance control requirements and security frameworks (e.g. SOC 2 ISO 27001 NIST 800-53).

Equal Opportunity:

Contextual AI is an equal opportunity employer and complies with all applicable federal state and local fair employment practices laws. All qualified applicants will receive consideration for employment without regard to race color religion national origin ancestry sex sexual orientation gender gender expression gender identity genetic information or characteristics physical or mental disability marital/domestic partner status age military/veteran status medical condition or any other characteristic protected by law.