- Company Name
- Calyptus
- Job Title
- AI Engineer
- Job Description
-
Job title: AI Engineer
Role Summary: Engineer, deliver, and maintain core platform systems, from UI through backend orchestration. Own end‑to‑end project delivery, drive technical decisions, and ensure performance, scalability, and reliability. Embed AI agents into workflows and collaborate with ML teams to shape the AI/human interface. Contribute to product roadmap, challenge assumptions, and champion technical innovation as a founding engineer.
Expactations: • Design, build, and deploy foundational platform components. • Lead full‑stack projects, making decisive technical choices. • Ensure application performance, scalability, and reliability from inception. • Embed AI capabilities into user workflows in collaboration with ML engineers. • Shape product direction and challenge the status quo. • Advocate for and implement best practices across engineering, product, and architecture.
Key Responsibilities:
- Architect and develop end‑to‑end platform components, spanning front‑end and back‑end layers.
- Build responsive, high‑performance user interfaces with HTML, CSS, and TypeScript using React (and another major framework).
- Develop robust server‑side APIs in Python (Django/FastAPI) and maintain database systems (SQL and NoSQL).
- Implement security, authentication, and deployment infrastructure.
- Participate in Agile ceremonies, contributing to sprint planning, estimation, and retrospectives.
- Drive continuous integration and continuous deployment pipelines.
- Collaborate with ML teams to integrate LLMs and AI agents into the platform.
- Provide architectural guidance and technical mentorship to the team.
- Continuously assess and improve system scalability, reliability, and maintainability.
Required Skills:
- Front‑end: HTML, CSS, TypeScript, React, Angular or Vue.js, responsive design, cross‑browser compatibility, performance optimization.
- Back‑end: Python, Django, FastAPI, RESTful API design, database management (SQL & NoSQL), security practices, authentication, deployment infrastructure.
- Full‑stack: JavaScript/TypeScript proficiency, knowledge of Java or Node.js, web protocols, REST APIs, scalability best practices.
- DevOps: CI/CD, Docker, Kubernetes, cloud environments (AWS/GCP/Azure).
- Agile: experience working in sprint‑based teams.
- Optional: Exposure to ML/LLMs and related tooling.
Required Education & Certifications:
- BSc or MSc in Computer Science, Physics, Engineering, or equivalent technical discipline.
- Proven startup or early‑stage product experience (preferred).