Systems and Security Technical Lead securing Citizen Lab’s sensitive research systems and infrastructure. Leading security operations, privileged - access audits, incident response, and IT security projects at University of Toronto.
About the role
- AI Solutions Engineer developing full-stack AI applications utilizing modern web technologies at Edelman. Collaborating with cross-functional teams to implement innovative AI solutions for communications.
Responsibilities
- Build full-stack AI applications using React, JavaScript/TypeScript, and Python.
- Develop both rapid prototypes and production-ready applications.
- Integrate AI capabilities using OpenAI APIs and related AI services.
- Design and implement frontend interfaces, backend APIs, database interactions, and application workflows.
- Deploy and manage applications using tools such as Vercel and AWS.
- Work with Supabase for backend services such as authentication, database management, storage, and APIs.
- Use AI-assisted development tools such as Cursor, v0, Codex, and Claude Code to accelerate development.
- Debug, test, document, and improve applications for performance, reliability, and usability.
- Collaborate with product, strategy, design, and technical teammates to move ideas from concept to shipped product.
- Stay current with emerging AI development practices, tools, and application patterns.
Requirements
- 1–3 years of software development experience, including professional, internship, freelance, or strong project-based work.
- Experience building web applications with React and Python.
- Working knowledge of JavaScript/TypeScript.
- Familiarity with backend development, APIs, databases, and authentication.
- Experience using Git and GitHub in a collaborative workflow.
- Interest in AI application development, LLMs, automation, and emerging developer tools.
- Ability to learn quickly, troubleshoot independently, and work in a fast-moving environment.
- Strong communication skills and comfort working with both technical and non-technical teammates.
- Experience with OpenAI APIs or other LLM APIs (preferred).
- Experience with Supabase/PostgreSQL, edge functions, or serverless backend patterns (preferred).
- Experience deploying applications on Vercel, AWS, or self-hosted platforms (preferred).
- Familiarity with Docker, environment variables, secrets management, and basic production deployment practices (preferred).
Benefits
- Impactful Work: Play a key role in transforming the workflows of the leading PR/communications firm globally.
- Collaborative Environment: Work with a diverse and talented team, driving innovation across multiple disciplines.
- Professional Growth: Opportunities for continuous learning and development in the rapidly evolving field of AI.
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