Software Engineer

In this role, you will: 

• Design and implement backend services and APIs that are secure, scalable, and maintainable, primarily using Python.
• Work closely with researchers, security engineers, and product teammates to bring AI-driven features from concept to production. 
• Apply best practices for authentication, authorization, encryption, and data protection throughout the stack. 
• Integrate and optimize advanced AI/ML models within backend architectures. 
• Monitor and improve performance, reliability, and resource efficiency to support growth. 
• Participate in code reviews, testing, and deployment processes to maintain high standards of quality and security. 

You might excel in this role if you:  

• Bring deep experience in cybersecurity, threat detection, or a related area. 
• Thrive in fast-moving, high-impact environments, such as startups, AI research labs, or security-focused teams.
• Enjoy tackling complex, ambiguous problems and can adapt quickly as priorities evolve.
• Take initiative, communicate openly, and consistently push yourself — and your team — to deliver exceptional results.
• Work effectively both independently and collaboratively, contributing to team goals while managing your own projects with initiative and accountability.

Qualifications:

• Degree in Computer Science, Engineering, or related field — or equivalent professional experience. 
• 3+ years of professional, hands-on backend development in production environments. 
• Proficiency in backend programming languages such as Python, Java, Kotlin, Node.js, or Go and experience building secure systems, APIs, and microservices.
• Strong understanding of security best practices, including authentication methods (OAuth, JWT), encryption, and secure API development; knowledge of common attack vectors (SQL injection, privilege escalation, DDoS) and effective mitigation strategies.
• Experience integrating and optimizing AI models (e.g., NLP, vision, multimodal systems) within backend services.
• Familiarity with SQL and NoSQL databases; experience with secure data management.
• Experience with cloud infrastructure (AWS, GCP) and secure deployment practices, including containerization (Docker, Kubernetes).
• Experience effectively communicating complex engineering topics to both technical and non-technical stakeholders. 
• Familiarity with modern DevOps practices, including test automation, CI/CD pipelines, and infrastructure-as-code practices.

Compensation & Benefits:

• Salary Range: $105K–$125K, depending on experience and location
• Bonus: Performance-based annual bonus
• Professional Development: Support for conferences, continuing education, or leadership training
• Work Environment: Fully remote, U.S.-based
• Health Benefits: Comprehensive health, dental, and vision coverage
• Time Off: Generous PTO and paid holiday schedule
• Retirement: 401(k) plan