AI Systems Engineering Expert
TripleTen USA
Looking for a Remote Worldwide Development role? AI Systems Engineering Expert at TripleTen is listed on Makely Remote Jobs as a Part-time opening based in USA (United States). Review the role overview below, then apply on the employer’s original listing — Makely Remote Jobs does not process applications.
Role overview
Description
At TripleTen, we're building an international platform of digital re-skilling products to help people from diverse backgrounds learn new professions and build sustainable careers in tech.
Our program graduates have landed jobs at top companies like Tesla, Spotify, PlayStation, Google, and Microsoft. So far, over 5,000 students have chosen TripleTen, and hundreds of new students are joining us each month. We believe everyone can jumpstart a new career, which is why we produce quality educational content and offer intensive courses in tech complete with full access to an interactive platform, code reviews, and support from industry practitioners.
We're launching a program for experienced engineers transitioning into system architecture roles. The curriculum is being built by a team of senior authors. What we need now is the person who brings it to life for students: hosts the live sessions, reviews the work, runs the architecture review boards, and sets the technical bar for the people supporting alongside you.
This is a teaching and review role. You'll be the senior technical presence the cohort learns from week to week. You'll run live sessions and office hours, give real architectural feedback on student deliverables, and act as the escalation point for a team of supporting instructors who handle first-line questions. The best person for this is someone who has actually designed and shipped systems at scale, has opinions about what good architecture looks like, and can tell an experienced engineer why their design is wrong, not just whether it runs.
Your audience: experienced engineers leveling up to system architecture roles. Many already write production code daily. They will spot shallow feedback instantly, so the bar here is real seniority, not familiarity.
Format: Async-first with scheduled live sessions. Live sessions and office hours are timed around a US-based cohort. Estimated 15 to 25 hrs/week.
Please submit all resumes or CV's in English.
What you will do
- Host weekly live sessions across the program, focused on the design and decision layer: where to split services, how systems scale and fail, which tradeoff to make and why
- Run group office hours and 1:1 sessions for students working through projects and the capstone
- Review student projects against rubrics: the architecture dossiers, deployed backends, cloud infrastructure, performance reports, security reviews, and the final distributed-system capstone
- Give architectural feedback, not just pass/fail checks. Catch when a design decision is unsound, an interface is wrong, or a scope is unrealistic, and explain the better path
- Run the mock architecture review boards and the simulated executive-panel presentations, and give structured, senior-level critique
- Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point on design and architecture calls
Requirements
- 5+ years as a senior software/systems architect, platform engineer, or senior backend/infrastructure engineer
- Has designed and shipped systems at scale in a real company, not just coursework or side projects
- Depth across the architectural spine: system design, API and service architecture, cloud and infrastructure (AWS, Kubernetes, Terraform, CI/CD), and distributed systems
- Can explain why a decision was made, not just how it was implemented, and can diagnose and critique someone else's architecture live
- Strong technical communication: comfortable leading a live session and writing clear, specific review feedback
- Strong English C1+ — instruction and review are in English for a US-based audience
- Comfortable using AI tools in day-to-day technical work
What we can offer you
- Milestone-based payments tied to deliverables
- Fully remote work with flexible hours
- A digital office — we use modern tools (Notion, Miro, Slack, Figma) to keep collaboration smooth
- Professional trust and autonomy — no micromanaging
- The chance to see real impact: our metric is graduates landing jobs in tech
- Join a diverse, international, and close-knit team excited to work with you
Summary provided for discovery. Always confirm details and apply on the original source. Makely Remote Jobs is not the employer and does not process applications.
Frequently asked questions
Is AI Systems Engineering Expert at TripleTen a remote job?
Yes. This listing is categorized as Remote Worldwide on Makely Remote Jobs. Confirm any location or timezone limits in the original posting before you apply.
What is the employment type for AI Systems Engineering Expert?
Source data lists this as Part-time. Always verify the contract type, benefits, and start date on the employer’s application page.
Where is AI Systems Engineering Expert located?
Listed location: USA. Many remote Development roles allow work-from-home with country or timezone restrictions — check the full description.
Do I apply on Makely Remote Jobs?
No. Makely Remote Jobs aggregates public remote job feeds for discovery. Use “Apply on Original Site” to open the employer’s official application URL. We never host applications or collect resumes.
Does TripleTen list salary for this Development role?
Salary was not published in the source feed. Check the original listing or ask the recruiter during screening for compensation details.