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Why this grade This listing scored 27/100, which is an F. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Corroboration 5 / 10 Whether more than one source carries this listing.
- Freshness 4 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Role specificity 0 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Pay transparency 0 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
-10 Ghost-job penalty — Deducted for signals that this posting may not be a real, currently-open role — staleness, repeated relisting, or talent-pool language.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Description
🤓 TripleTen is an EdTech company that designs and runs tech career learning programs for the US and Latin American markets. We've been doing it for over five years, teaching 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, and we serve a large, active student base across both regions.
We're looking for the person who brings a Forward Deployed Engineering curriculum to life for students: hosts the group live events, reviews the work, runs the solution design and delivery reviews, and sets the technical bar for the people supporting alongside you. The curriculum is built by a team of senior authors.
This is a teaching and reviewing role. You'll be the senior technical presence students learn from week to week. You'll run group live events, give real engineering feedback on student deployment 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 gone into client environments and carried AI deployments to production, has opinions about what a sound deployment looks like, and can tell an experienced engineer why their approach is wrong.
Your audience: Working production engineers, not career changers, with six to fifteen years in, mostly backend, with senior and staff engineers and the occasional engineering manager. They've shipped real software for years and are moving deliberately into forward-deployed AI work; some are already interviewing for FDE roles while they study. What they're missing is agentic systems and the client-facing half of delivery.
Format: 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.
Please submit all resumes or CVs in English.
What you will do
- 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 – 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+ — 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.
What we can offer you
- 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!
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 15 Aug 2026 Himalayas first sighting
Seen on 1 board over 0 days.