Forward-Deployed AI Engineer (Internship or Full-Time, Dublin)

We have multiple positions to fill. The type of position we offer depends on your experience and qualifications:No work experience, with a Bachelor's or Master's degree: we offer you an internshipAt least 2 years of work experience, or a Ph.D. / postdoc: we offer you a full-time positionAbout UsWe are an AI startup founded in 2020, headquartered in Dublin, Ireland, with an AI Lab in Milan, Italy. Our expertise spans machine learning and generative AI for financial services.At Gemmo AI, we build custom AI solutions that combine automation with human insight. We use a modular approach: first we explore the highest-impact opportunities, then we design and deploy tailored solutions, and finally we help improve and maintain them over time.We believe in responsible, pragmatic AI: systems that integrate into real workflows, provide measurable value, and remain under the client's control.Our TeamForward Deployed Engineers: 25 people, including 4 Ph.D.sLeadership: 4 peopleWe are a lean, technical-first team, and we're growing. We're looking to add 17 new Forward-Deployed AI Engineer roles before the end of the year.The RoleA forward-deployed engineer works directly with the client and owns the solution end to end: from understanding the business problem, to choosing and building the right model, to shipping and running it in production. There's no handoff chain. The same engineer who hears the problem delivers the answer.In practice, the role combines three disciplines:Business analysis: understanding how a financial institution works, mapping its processes, and turning a vague request into a clear specificationML engineering: building, evaluating and improving models, from classic prediction models to fine-tuned LLMsSoftware engineering: building the APIs, integrations and applications that put models into real workflows, then deploying and maintaining themNobody arrives strong in all three. We hire people who are solid in at least one and eager to grow into the others.What You'll DoYou'll work on AI solutions for one of the most data-rich industries in the world, in direct contact with enterprise clients. Depending on the project, you might:Sit with client stakeholders to understand a workflow and identify where AI creates measurable valueBuild prediction models and ML-based document analysisFine-tune LLMs to power conversational interfaces over the client's dataExtract actionable insights from large-scale datasetsDesign the APIs and integrations that connect your models to the client's systemsDeploy, monitor and improve what you've built once it's liveBoth tracks involve close collaboration with senior engineers and direct exposure to enterprise clients. This is not a support role: you'll be expected to contribute from day one.What You Will LearnRunning discovery with clients and translating business problems into technical plansBuilding and evaluating ML and generative AI solutions for financial servicesDesigning, building and maintaining CRUD APIs to interact with users and serve modelsDeploying, monitoring and maintaining applications in Azure and SnowflakeCommunicating technical work clearly to non-technical stakeholdersWho You AreYou have a solid foundation in machine learning or software engineering, from your studies, research or workYou enjoy understanding why something needs to be built, not just howYou're comfortable talking to clients and asking questions when a problem is unclearYou take ownership of outcomes, not just tasksYou write clearly, because most of our communication happens in writingInterest in financial services is a plus; prior experience is not requiredTech StackWe use a mix of modern tools and languages. You'll have the chance to explore and work with technologies like these:Languages: Python, SQLML frameworks: PyTorch, XGBoostAPI frameworks: FastAPIDatabases: Snowflake, PostgresCloud: Azure, AWSHow We WorkEveryone is expected to communicate clearly, move fast, and take ownership.Communication. We run one short standup every morning to align on daily priorities. Everything else lives in writing: project documentation on Linear and GitHub, and async conversations on Slack, with dedicated channels per team and project.Rhythm and organisation. We work in weekly sprints, so priorities are always clear and nothing drags. Every Friday we run a retrospective: an open conversation about what's working and what isn't.Compensation: InternshipsCompensation: €1400 /month with a Bachelor's, €1,800 with a Master'sContract type: Full-time Equipment: Apple M5 14-inchNon-cash value: mentorship and fast promotionDuration: 6 months, with a 1-month trial periodCareer Path for InternsThis internship is not a dead end. It's the front door. We hire interns with the explicit intention of converting them into full-time forward-deployed engineers, and most interns move to a permanent contract within 6 months.Compensation: Full-TimeRAL: €45,000-60,000 gross Salary progression: 5-10% each year, subject to performance reviewSalary reviews: every yearEquipment: brand-new Apple M5 14-inchRemote Work and Schedule3 days in the office (Tuesday, Wednesday, Thursday) and 2 days (Monday, Friday) working from anywhereWorking hours: Monday to Friday, 8:30-17:30 CETLunch: 13:00-14:00 (flexible)Selection ProcessWe keep it fast, respectful and transparent.Interview with the CEO (15 min): motivation, background knowledge and availabilityInterview with the CTO or a Senior Engineer (15 min): company and role presentation, alignment on expectationsTechnical interview (30-40 min): a technical discussion on ML principles and system design. No whiteboard coding or LeetCode-style questions