Related skills
gitlab react nlp docker aws📋 Description
- Contribute to design and development of AI-powered platforms with senior engineers.
- Own end-to-end delivery of complex projects from discovery to production rollout.
- Build AI features, automation, and agentic systems to improve UX and productivity.
- Embed AI into workflows, products, and processes with natural integration.
- Integrate AI into customer-facing products, internal tools, and workflows.
- Build full-stack components across backend, APIs, data layers, and frontend.
🎯 Requirements
- 1–3 years in software/AI/platform engineering or related roles.
- Hands-on shipping AI-powered systems to production.
- Proficiency in Python, SQL, and React.
- Experience designing and owning production-grade full-stack systems.
- Experience with distributed systems and complex data workflows.
- Ability to work in ambiguity and drive solutions with minimal direction.
🎁 Benefits
- Remote-friendly, distributed team.
- Clear opportunities for growth and ownership.
- Collaborative, cross-functional engineering culture.
- Emphasis on high standards and rapid decision making.
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