Principal AI Engineer Chisinau

About DataCamp DataCamp's mission is to empower everyone with the data and AI skills essential for 21st-century success. By providing practical, engaging learning experiences, DataCamp equips learners and organizations of all sizes to harness the power of data and AI. As a trusted partner to over 17 million learners and 6,000+ companies, including 80% of the Fortune 1000, DataCamp is leading the charge in addressing the critical data and AI skills shortage. About the role Research has consistently shown that one-on-one tutoring dramatically outperforms traditional classroom instruction—a finding known as Bloom's 2 Sigma Problem. Despite decades of awareness, no solution has successfully delivered personalized tutoring at scale. Until now. We are building an AI tutoring system designed to emulate and eventually surpass the best human tutors. You will work on the core AI system that delivers real-time, adaptive learning experiences to learners. If you're excited about building the future of human learning, this role is for you. This role can be done remotely from anyone of the following; United Kingdom, Belgium, Portugal OR UAE About you At DataCamp, we seek individuals who embody our core values of data-driven decision-making, action, transparency, ownership, and customer focus. You thrive in a fast-paced, high-performing environment and are driven by a passion for making a meaningful impact. You're adaptable, embracing change and ambiguity with enthusiasm. Your initiative and entrepreneurial spirit push you beyond just meeting targets—you aim to understand the "why" behind our goals and take ownership to drive the business forward. You’re a collaborative team player who values transparency and always seeks to improve and innovate. If this sounds like you, we encourage you to apply! Responsibilities * Build and evolve the core AI tutoring system, including prompt architectures, agentic workflows, and real-time adaptive behaviors. * Run rigorous experimentation and evaluation, developing custom metrics and frameworks to measure learning effectiveness and improve model reliability. * Design and implement scalable, maintainable software, integrating AI capabilities with platform systems, content pipelines, and user experience components. * Collaborate cross-functionally with educators, content creators, and product teams to translate pedagogical goals into technical solutions. * Prototype and productionize novel model interactions, leveraging emerging research and capabilities to advance the tutor’s intelligence. * Ensure quality, safety, and observability through monitoring, testing, guardrails, and iterative refinement of model behavior. * Share knowledge and elevate teammates, contributing to a culture of clarity, simplicity, and continuous learning. Qualifications TECHNICAL * 1+ years building complex LLM-based systems, with strong prompt engineering intuition and experience designing agentic workflows. * Ability to design meaningful evaluation methods, including custom metrics and frameworks when off-the-shelf options fall short. * Strong software engineering fundamentals, architectural thinking, and fluency in Python; comfortable working with production infrastructure, cloud environments, and CI/CD. * Actively follows AI research and emerging capabilities, applying new ideas creatively to real problems. PRODUCT & PEDAGOGY * Strong empathy for learners and content creators; able to translate pedagogical goals into system behavior and product decisions. * Ability to reason holistically across AI behavior, content structure, platform features, and user experience. * Familiarity with learning science or a desire to develop expertise. CHARACTER & COLLABORATION * Drawn to difficult, ambiguous problems with no clear blueprint; persistent in exploring and refining solutions. * Preference for elegance and simplicity in system design. * Communicates clearly across mediums and enjoys mentoring and collaborating in small, high-ownership teams. Why Datacamp?  Joining DataCamp means becoming part of a dynamic, creative, and international start-up. Here are just a few of the reasons why you’ll love being on our team: * Exciting challenges: Face new technical challenges daily, keeping your work engaging and rewarding. * Competitive compensation: We offer a competitive salary with attractive benefits. * Flexibility: Benefit from flexible working hours because the future is flexible!  * Continuous learning: Access a yearly learning budget for conferences & training to support your professional growth. * Global retreats: Participate in international company retreats, fostering a global team spirit. * Equipment: Yearly refreshment of your IT Equipment budget for your home working setup. * Amazing team: Collaborate with a truly exceptional team—seriously, we’re awesome!

Multiverse is the upskilling platform for AI and Tech adoption. We have partnered with 1,500+ companies to deliver a new kind of learning that's transforming today’s workforce. Our upskilling apprenticeships are designed for people of any age and career stage to build critical AI, data, and tech skills. Our learners have driven $2bn+ ROI for their employers, using the skills they’ve learned to improve productivity and measurable performance. In April 2026, we announced $70 million in strategic funding, led by Schroders Capital, with participation from StepStone Group, Lightspeed Venture Partners and General Catalyst. At an increased valuation of $2.1bn, the round makes us Europe’s first EdTech double unicorn. But we aren’t stopping there. With a strong operational footprint and 800+ employees, we have ambitious plans to continue scaling. We’re building a world where tech skills unlock people’s potential and output. Join Multiverse and power our mission to equip the workforce to win in the AI era. THE OPPORTUNITY Multiverse is the UK’s largest apprenticeship provider and its first EdTech unicorn. The current state of AI presents a huge opportunity to reshape the future of education and workforce development — and Multiverse is in a uniquely strong position to do that. Getting it right has implications beyond the company: for the UK tech sector and the broader economy. The Scotland hub exists to make that real. A new engineering team with the mandate to build AI-native products, help modernise the existing platform, and set the practices that make Multiverse an AI-first company. Multiverse has built an environment where AI-native ways of working collapse the old boundaries, so one person can own the whole arc from idea to live product. As Principal AI Engineer, this is a deeply technical role. You’ll be the person other engineers turn to when the hard problems land — the one who navigates architectural ambiguity, makes high-stakes design decisions, and holds the bar on engineering quality across everything we build with AI. You ship code alongside the team; this is a hands-on building role, not an advisory position. WHAT YOU’LL DO * Own the AI agent architecture. Design the orchestration layer, memory and context management, evaluation framework, and integration APIs that all agent products build on. Your decisions are the ones others build on top of. * Ship production agents. You write and review code and own what goes to production. You’ll personally deliver at least one major agent system in your first six months. * Set the engineering standard. Define how Multiverse builds with AI — evaluation methodology, multi-agent coordination patterns, tool design, guardrails, and observability. You author the decision records and hold the bar. * Build the integration layer. Create the APIs, MCPs, and shared data contracts that connect agents to Multiverse’s platform, content systems, and internal tools — working closely with London engineering teams who own those systems today. * Drive technical strategy. Translate product and business goals into a coherent AI engineering roadmap. Shape which problems we tackle, in what order, and why — then socialise it with engineering leadership and the exec team. * Raise the bar around you. You’re not a line manager, but your presence makes the engineers you work with measurably better. Code review, pairing on hard problems, setting the standard for what ‘good’ looks like in AI-native engineering. WHAT WE’RE LOOKING FOR Production AI Agent Engineering You’ve shipped multi-agent systems to real users. You understand context management, model selection and routing, cost engineering (token economics, caching, prompt optimisation), tool use and failure handling, multi-agent coordination, and evaluation frameworks for non-deterministic systems. This is depth, not familiarity. Technical Strategy and Influence at Scale You’ve set technical direction across multiple teams, not just within a single squad. You translate complex architecture decisions into business-relevant narratives for executive stakeholders. You’ve defined engineering standards that were adopted organisation-wide — not just recommended, but embedded. Full-Stack Delivery You work across the stack — LLM integration, backend services, data pipelines, and enough frontend to ship end-to-end. You build with Claude Code daily, critically review AI output, and augment your tools with context and constraints to make them effective. Product Instinct You don’t wait to be handed a roadmap. You identify which problems are worth solving, in what order, and why — and you make the case for building before anyone asks you to. WHAT WOULD SET YOU APART * Background as a founding engineer or technical co-founder * Experience in EdTech, regulated content, or domains where AI output quality has compliance implications * Published thinking or external contributions in AI engineering — talks, writing, open source * Practical experience with MCP (Model Context Protocol) or equivalent agent integration standards Benefits * Time off - 27 days holiday, plus 5 additional days off: 1 life event day, 2 volunteer days, 2 company-wide wellbeing days (M-Powered Weekend) and 8 bank holidays per year * Health & Wellness- private medical Insurance with Bupa, a medical cashback scheme, life insurance, gym membership & wellness resources through Wellhub and access to Spill - all in one mental health support * Hybrid work offering - for most roles we collaborate in the office three days per week with the exception of Coaches and Instructors who collaborate in the office once a month * Work-from-anywhere scheme - you'll have the opportunity to work from anywhere, up to 10 days per year * Space to connect: Beyond the desk, we make time for weekly catch-ups, seasonal celebrations, and have a kitchen that’s always stocked! Our Commitment to Diversity, Equity and Inclusion We’re an equal opportunities employer. And proud of it. Every applicant and employee is afforded the same opportunities regardless of race, colour, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. This will never change. Read our Equality, Diversity & Inclusion policy here. Our Commitment to Safeguarding Multiverse is committed to safeguarding and promoting the welfare of our learners. We expect all employees to share this commitment and adhere to our Safeguarding Policy, our Prevent Policy and all other Multiverse company policies. Successful applicants will be required to undertake at least a Basic check via the Disclosure Barring Service (DBS). For roles that will involve a Regulated Activity, successful applicants must also undergo an Enhanced DBS check, including a Children’s Barred List check and a Prohibition Order check. Roles involving Regulated Activity may interact with vulnerable groups, therefore are exempt from the Rehabilitation of Offenders Act 1974 meaning applicants are required to declare any convictions, cautions, reprimands, and final warnings. Providing false information is an offence and could result in the application being rejected or summary dismissal if the applicant has been selected, and possible referral to the police and the DBS.