FDE Teaching Expert (Part-time)

About the role

TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We teach complete beginners—people with no prior tech background—through cohort-based programs built on our own platform and curriculum, developed in partnership with Nebius AI. Our team is fully remote and globally distributed.

We're looking for a senior technical presence to bring a Forward Deployed Engineering curriculum to life for students. You'll host group live events, review student work, run solution design and delivery reviews, and set the technical bar for supporting instructors. Your audience consists of working production engineers with 6–15 years of experience, mostly backend, including senior and staff engineers and engineering managers transitioning into forward-deployed AI work.

Responsibilities

• Host live events focused on deploying AI systems inside a client's environment: discovery and scoping, agentic architecture, integration with enterprise systems, rollout, and adoption.
• Run 1:1 sessions and tech mock interviews for students working through projects.
• Review student projects against rubrics, including the client-facing side of the work: scoping decisions, demos, and how they explain a system to a non-technical stakeholder.
• Set the technical standard for a team of supporting instructors who cover questions and first-line review, and act as their escalation point.

Requirements

• 7+ years of professional engineering experience, currently working at senior level or above (Senior/Lead/Staff Engineer, Forward Deployed Engineer, Solutions Architect, or technical lead on customer-facing delivery).
• Has personally owned deployments end-to-end in real client or enterprise environments—from first call through production go-live and adoption.
• Depth across the FDE spine: customer discovery and design sessions, scoping and delivery planning under ambiguity, stakeholder management without formal authority; LLM and agent systems in production (prompting, tool/function calling, orchestration frameworks such as LangGraph/LangChain/CrewAI, guardrails, evals, RAG over enterprise data); APIs and integrations (REST, webhooks, JSON/GraphQL), Python, and deployment on at least one major cloud.
• Can explain why an architecture or scoping decision was made, not just how it was implemented, and can diagnose and critique someone else's work live.
• Strong technical communication: translating between technical and business audiences, comfortable leading a live session, whiteboarding a solution, and writing clear, specific review feedback.
• Strong English (C1+ level)—instruction and review are in English for a US-based audience.
• Comfortable using AI tools in day-to-day technical work.

Preferred Experience

• Has taught, mentored, or run technical sessions before: internal tech talks, onboarding, mentoring engineers, bootcamp or workshop instruction.
• Has worked embedded within a customer team as their primary technical resource, or held a customer-facing engineering role (solutions engineer, solutions architect, technical consultant).
• Production experience with agentic frameworks (LangGraph, LangChain, CrewAI) and MCP-based tool integrations into client systems.
• Work experience at a recognizable company.
• Familiarity with online education platforms or running programs.

Schedule

Group live events, 1:1s, and workshops timed around US Eastern Time—mostly 2:00 PM to 9:00 PM ET. Estimated 15 to 25 hrs/week.

Benefits

• Fully remote work, with live sessions scheduled within US afternoon and evening hours.
• A digital office: we use modern tools (Notion, Slack, Zoom) to keep collaboration smooth.
• Professional trust and autonomy: no micromanaging.
• A diverse, international, close-knit team excited to work with you.