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🤓 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 tec…
Skills: Forward Deployed Engineering, AI Systems Deployment, Agentic Architecture, Python, Cloud Computing
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Part-time
Fully remote work, Professional trust and autonomy, Diverse and international team
Posted 7h ago
~25 hrs/week
Remote in Lisbon, Portugal
Responsibilities
You will host live events and workshops focused on deploying AI systems while providing expert feedback on student projects. Additionally, you will act as an escalation point for supporting instructors and set the technical standards for the curriculum delivery.
Requirements
Candidates must have 7+ years of professional engineering experience with a focus on end-to-end client deployments and production-level AI systems. Strong technical communication skills and the ability to translate complex architectures for business stakeholders are essential.
Full job 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!
Nebius builds infrastructure for the age of AI.
Built on large-scale GPU clusters deployed across Europe and the US, Nebius’s full-stack AI cloud platform combines the scale, flexibility and reliability of a hyperscaler with the power and performance of a supercomputer.
We serve a fast-growing ecosystem of AI innovators of all sizes — from startups to research institutes to enterprises — across sectors including healthcare and life sciences, robotics, finance and entertainment, as well as national AI programs.
Led by Arkady Volozh, the visionary entrepreneur and founder of Yandex, Nebius is built around the talents of hundreds of engineers with deep expertise in building world-class tech infrastructure, as well as an in-house AI R&D team.
Headquartered in Amsterdam and listed on Nasdaq (NBIS), Nebius has a global footprint, with hubs across Europe, North America and the Middle East.
As well as our core AI infrastructure business, Nebius Group includes other companies growing under distinctive individual brands:
🚖 Avride develops autonomous cars and delivery robots for sectors such as ride-hailing, logistics, e-commerce, and food and grocery delivery.
📚 TripleTen is a leading edtech platform, specializing in reskilling and upskilling individuals for successful careers in tech.
We also own equity stakes in companies including ClickHouse and Toloka.
Offices: Amsterdam, NL · Tel-Aviv, IL · Cross Park Dr, Austin, Texas, US · Mäntsälä, FI · Paris, FR
AI infrastructureInference as a Service (IaaS)AI cloudNeocloudArtificial intelligenceMachine learningand AIData StoragePaaSHealth Care
How many Technology jobs are open in Lisbon, Portugal right now?
There are currently 1,611 open technology positions in Lisbon, Portugal listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Technology roles in Lisbon, Portugal?
Companies currently hiring include Inetum, Capgemini, Claranet Portugal, SIXT, Devoteam, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Technology jobs in Lisbon, Portugal?
Yes — 1209 of the 1611 open technology positions offer remote or hybrid work (263 remote, 946 hybrid).
How do I apply for Technology jobs in Lisbon, Portugal?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.