Saint Fox

Position: AI Platform Architect & Full-Stack AI Developer

Experience: 6 Years

Job Type: Full-time

Job Summary :

St. Fox is seeking a highly skilled and driven AI Platform Architect & Full-Stack AI Developer to lead the design, development, and deployment of secure, scalable, and intelligent systems. This role is a unique blend of deep expertise in backend engineering, AI/ML frameworks, and modern DevSecOps practices. You will own the full development lifecyclefrom architecting robust infrastructure and CI/CD pipelines to building and securing cutting-edge AI-powered applications using tools like LangChain, RAG, and enterprise LLMs. We are looking for a true builder, architect, and problem-solver who thrives in chaos and delivers real, tangible results.

Key Responsibilities :

- Secure CI/CD & DevSecOps: Design, implement, and maintain secure CI/CD pipelines with integrated DevSecOps principles. You will be responsible for building security into every stage of the pipeline, leveraging modern AI tools like Copilot, Claude, Gemini, and OpenAI.

- AI Platform Development: Architect and build large-scale production systems for AI/ML workflows. This includes hands-on development of AI-powered applications and securing them with controls like RBAC, identity-aware access, and zero-trust enforcement.

- Full-Stack Ownership: Take complete ownership of the full stack and development process, from infrastructure and backend to the application layer. You will be expected to code, test, and secure platforms with high efficiency.

- Security & Compliance: Implement and enforce robust security measures, including prompt monitoring, to protect AI systems. You will have experience with security standards like SBOMs, supply chain security, OWASP, and OAuth2.

- Frameworks & Infrastructure: Utilize your expertise in Kubernetes, GitHub Actions, and Terraform for infrastructure as code. You will also use monitoring tools like Grafana to ensure system health and performance.

Required Skills & Qualifications :

- 6 years of professional experience in backend, infrastructure, and AI pipelines using languages like Python, Node, Go, or Rust.

- 3 years of specialized experience in AI/ML workflows and LLM frameworks such as LangChain, RAG, or ReAct.

- Proven experience building large-scale production systems and contributing to open-source projects.

- Expertise in Kubernetes, GitHub Actions, Terraform, and Grafana.

- Strong understanding of security standards and practices, including SBOMs, OWASP, and OAuth2.

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