TL;DR
Fullstack Engineer (AI): Developing and deploying AI-powered automation tools that streamline creative production for enterprise teams with an accent on integrating AI models (LLMs, text-to-image, text-to-voice) into production-ready creative tools and optimizing microservice architectures. Focus on prototyping quickly, refining proofs-of-concept into robust production applications, and collaborating with AI engineers, designers, and product managers to ensure seamless user experiences.
Location: Remote (Global)
Company
Superside is a natively remote company focused on rethinking creative work through AI-powered automation solutions for top global brands.
What you will do
- Develop and deploy AI-powered automation tools that streamline creative production for enterprise teams.
- Integrate AI models (LLMs, text-to-image, text-to-voice) into production-ready creative tools.
- Build and optimize microservice-based software architectures for scalability and efficiency.
- Prototype quickly, then refine proofs-of-concept into robust production applications.
- Collaborate with AI engineers, designers, and product managers to ensure seamless user experiences.
- Identify opportunities to automate workflows and drive efficiency through innovative AI solutions.
Requirements
- 3+ years of professional experience developing enterprise-grade software in fast-paced environments.
- Strong full-stack development experience with TypeScript.
- Familiarity with AWS services such as S3, RDS, and Lambda.
- Hands-on experience integrating AI APIs (e.g., OpenAI, Fal.ai).
- Excellent English communication skills for both technical and customer-facing collaboration.
Nice to have
- Experience with React and/or Python.
- Experience with creative tool integrations (Figma, Adobe Suite APIs).
Culture & Benefits
- Natively remote company with a global community spanning 60+ countries.
- Fast-paced, high-energy environment with truth-seeking teammates.
- Opportunity to influence product like a startup while enjoying the stability of a thriving scale-up.
- Commitment to career development through continuous learning opportunities, constant mentoring, and leadership development.
