Product | Applications Engineer

YOUR MISSION As an Engineering Intern at Moonwatt, you will work at the intersection of embedded software, electronics design, and electrical engineering. Among others, you will work on the development, testing, and integration of our battery management system. This is a hands-on internship where you will be contributing directly alongside senior engineers, develop and test prototypes, and build our production firmware.  The internship is designed with a strong intention to convert to full-time for high performers. What You Will Work On Mechanical Design and Development * Actively contribute to the mechanical design of Moonwatt products using CAD tools (SolidWorks), from early concepts through detailed 3D models and technical drawings. * Perform Finite Element Analysis (FEA) to validate structural integrity, thermal behavior, and mechanical performance of components and assemblies. * Support the transition from design to physical prototype, working with manufacturing processes such as machining, sheet metal, and additive manufacturing. Participate in assembly, testing, and iteration cycles. * Work closely with internal teams (electronics, firmware, product) and external partners (suppliers, subcontractors, labs) to align mechanical designs with system-level requirements. * Produce and maintain engineering documentation including BOMs, assembly procedures, test reports, and design reviews. * Perform fail fast method to quickly deliver increments or prototypes that can be used to validate the feasibility or desirability of an idea or a project. * Perform mechanical assembly on sub or top assembly on product prototype. Electronics & Electrical Support * Assist electronics & electrical teams on the design of all electrical/electronic components with hardware design and assembly instructions.  * Support validation and testing of low-voltage and high-voltage electrical architectures within battery systems. Product development and organizational improvement * Setting up and managing custom property templates in SolidWorks (part number, material, revision, finish, etc.) to ensure consistent metadata across files. Designing and maintaining drawing templates * Contributing to the rollout of engineering best practices within the team (GD&T standards, model quality checklists, release workflows). YOUR PROFILE Must Have * Currently enrolled in a bachelor's or master's degree program in Mechanical Engineering.  * Solid foundation in mechanical design principles, materials, and manufacturing processes. * Proficiency in SolidWorks CAD tool. * Theoretical or practical knowledge of FEA simulation. * Knowledge of electricity fundamentals and battery systems. * Have an affinity for hands-on mechanical work. Thrive in a high-autonomy role and in fast-paced environments.  * Curious, precise, and eager to learn within a highly collaborative, multidisciplinary engineering environment. * Minimum internship duration of 6 months (end-of-study internship preferably). Nice to Have * Previous experience in students' organizations like Formula Student, Eco-Marathon teams or Fablab / Makerspace clubs will be highly valued. * Electrical and/or electronics knowledge or prior experience is a plus.  * Knowledge of DFM/DFA and tolerance analysis (GD&T). * Hands-on experience with prototyping (3D printing, machining, lab work). * Previous hardware bring-up experience including component-level testing and validation. * Interest or background in renewable energy, energy storage, or electric vehicles (EV) domains. * Awareness of hydraulics system challenges. WHY US? * An engineering internship with real responsibilities, not administrative tasks * Exposure to multiple disciplines beyond your core skillset * Direct mentorship from senior engineers and who built large-scale energy systems before * A learning environment where you will participate in decisions, not just observe * A path to full-time conversion for high-performing interns * A fast, mission-driven environment where engineering decisions matter

Hello. We’re Teya. Teya was founded on a simple belief: local businesses deserve better. They are the cafés, restaurants, salons, shops and entrepreneurs that bring character to our high streets, create jobs and keep communities moving. Yet for too long, financial services has made life harder for them - with clunky tools, poor support and complexity that gets in the way of running a business. Teya exists to change that. We’re building a financial platform for local businesses across Europe - one built around simple tools, thoughtful design and real human support. Our Members rely on us to help them run their business with confidence, and that responsibility shapes the way we work. We move fast. We care about quality. We stay close to the detail. And we believe great performance and genuine hospitality should go hand in hand. If you want to build meaningful products, solve real problems and make a genuine difference for local businesses, we’d love to hear from you Your Mission As an AI Engineer, you will help build and scale AI-powered products that directly improve how our customers interact with our platform and how our teams operate. You’ll join our AI Research & Development team focused on creating intelligent systems where AI is core to the experience — including customer onboarding and due diligence, risk and fraud monitoring, pricing and customer lifetime value optimisation, customer support automation, and AI-assisted software development. You’ll work across machine learning, generative AI, data, and software engineering to design, build, and productionise AI solutions that are reliable, scalable, measurable, and impactful. This role requires a strong engineering mindset, the ability to translate business problems into AI solutions, and the curiosity to explore how emerging AI capabilities can create real value. As a Senior AI Engineer at Teya, you will be expected to: * Design, develop, and deploy AI-powered features and services that solve real customer and business challenges. * Build and integrate AI systems using modern approaches including LLMs, generative AI, machine learning models, retrieval-augmented generation (RAG), agents, and automation workflows. * Work closely with product managers, engineers, data scientists, and domain experts to identify opportunities where AI can improve outcomes. * Develop production-grade AI solutions with strong focus on quality, scalability, observability, security, and responsible AI practices. * Evaluate AI models and solutions through experimentation, benchmarking, and continuous improvement. * Build data pipelines, model integrations, APIs, and services that enable AI capabilities across products. * Improve AI reliability through techniques such as prompt engineering, model evaluation, monitoring, guardrails, and feedback loops. * Contribute to AI engineering standards, best practices, and reusable frameworks across teams. * Stay current with developments in AI and identify opportunities to apply new technologies effectively. Requirements: * Strong software engineering experience with proficiency in one or more programming languages such as Python and Java * Experience building and deploying production software systems. * Hands-on experience developing AI/ML-powered applications or integrating AI models into products. * Understanding of modern AI concepts including: * Large Language Models (LLMs) * Generative AI applications * Prompt engineering * Model evaluation and optimisation * Embeddings and vector search * Retrieval-Augmented Generation (RAG) * AI agents and workflow automation * Experience working with AI/ML tooling and frameworks such as OpenAI APIs, LangChain, LlamaIndex, Hugging Face, TensorFlow, PyTorch, or similar. * Experience working with cloud platforms and modern engineering practices (CI/CD, APIs, monitoring, infrastructure as code). * Strong understanding of software engineering principles including testing, maintainability, scalability, and system design. * Ability to communicate technical concepts clearly to both technical and non-technical audiences. Nice to have: * Experience building AI solutions in regulated industries such as payments, fintech, banking, risk, compliance, or fraud prevention. * Experience with AI use cases such as: * Document intelligence and extraction * Customer support automation * Fraud detection and anomaly detection * Decisioning systems * Personalisation and recommendation systems * Developer productivity tools * Experience designing AI platforms, reusable AI infrastructure, or internal AI tooling. * Knowledge of ML operations (MLOps), model lifecycle management, monitoring, and governance. * Experience evaluating LLM applications for quality, safety, latency, and cost. * Familiarity with data engineering concepts, analytics platforms, and experimentation frameworks. * Contributions to AI communities, open-source projects, research, or technical writing. Teya is proud to be an equal opportunity employer. We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all. If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application—we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.