• Design scalable AI architectures for customer use cases in line with enterprise and security standards • Lead implementation of AI software components such as model serving, orchestration, retrieval, and integrations • Run time-bound proofs of value to demonstrate business outcomes quickly and clearly • Help migrate AI workloads between cloud, on-premises, and hybrid environments on Dell infrastructure, optimizing performance, reliability, and security • Take shared responsibility for production readiness and early production stability, including monitoring, performance optimization, and issue triage • Work closely with AI Data Specialists to define and consume AI-ready data pipelines that support performance and reliability • Collaborate with AI Strategists and Enterprise Architects to align technical scope with business outcomes and target-state architectures • Provide documentation, runbooks, and knowledge transfer to customer teams, and contribute to Dell AI Factory reference architectures and playbooks • Mentor other technical team members on AI architecture patterns, Dell AI infrastructure capabilities, and responsible AI practices

• Design and implement LLM-powered applications, including RAG pipelines, AI agents, chatbots, and generative AI integrations. • Manage AP/AR, invoice processing, collections, and payment runs. • Build, optimize, train, fine-tune, and evaluate machine learning and data science pipelines. • Process payroll in accordance with AU legislation. • Architect, deploy, and maintain AI infrastructure, including containerized environments, CI/CD pipelines for ML, monitoring, and scalable production systems. • Prepare financial and management reports (BS, P&L, Cash Flow). • Integrate with commercial LLM APIs (e.g., OpenAI, Anthropic) and open-source models. • Support AU accounting compliance; BAS/IAS prep is a plus. • Engage with business users and stakeholders to interpret requirements, scope AI use cases, and translate ambiguous needs into clear technical specifications. • Collaborate with product, engineering, and non-technical teams to align AI solutions with business objectives and user workflows. • Establish best practices for prompt engineering, model evaluation, and responsible AI development. • Document system architectures, runbooks, and handover materials to support long-term maintainability.

HiPeople is the AI Hiring Platform that takes care of screening, interviews, assessments, and references. So recruiting teams can focus on what matters most. People. We work with some of the world's leading brands, including the NFL, Zapier, Celonis, and DAZN. and are backed by leading investors and operators such as: Moonfire founder Mattias Ljungman, Capnamic, Cherry, André Christ (LeanIX, an SAP company), Mirko Novakovic (Founder Instana/Dash0), Micha Hernandez (Fiberplane), and others. We’re hiring an Applied AI Engineer to build the backbone of how we ensure quality, reliability, and trust in our AI systems as we scale toward $10M ARR and beyond. You’ll work directly with founders and play a central role in making sure our AI products are robust, measurable, and enteprise-production-ready. This role is for people who care deeply about quality, enjoy working on hard system problems, and want to build AI that actually works in the real world. We are an extremely lean team and plan to reach $10M ARR with fewer than 20 people. Every hire materially changes the company. This role has direct exposure to founders and real responsibility from day one. What you’ll do Own evaluation systems and quality standards - Build and maintain evaluation pipelines for core AI workflows across screening, interviews, assessments, and references - Define metrics, benchmarks, and acceptance criteria for AI outputs - Track performance over time (quality trends, drift, regressions) and make results visible across the team Drive continuous improvement of AI performance - Identify issues across prompts, workflows, and data pipelines using both quantitative analysis and deep dives into real cases - Design and implement improvements across: - prompting strategies - model selection, configuration, and fine-tuning - input data quality and preprocessing - orchestration and workflow design - Push new systems from “working” (80%) to reliable and high-quality (95%+) Ensure reliability, monitoring, and stability - Build and improve monitoring for AI systems (e.g. dashboards, alerts, tracing) - Detect and prevent failure modes, breakdown risks, and performance degradation - Monitor usage, rate limits, and capacity to ensure stable operation at scale Drive testing, CI, and safe shipping practices - Integrate AI and prompt testing into CI (e.g. regression tests, golden datasets, staging environments) - Define standards and tooling so product and engineering teams can safely ship without introducing regressions - Act as a quality gate for AI-related changes Own AI system audits and compliance support - Prepare and support internal and external audits (e.g. SOC 2 and beyond) - Provide evidence, documentation, and artifacts for AI system behavior and controls - Translate audit findings into concrete improvements in systems and processes Productionize AI workflows (not just prototype them) - Build and productionize AI workflows that meet defined quality and reliability standards - Support product and engineering teams in integrating AI cleanly into product logic and user experience - Ensure new AI capabilities are robust, measurable, and maintainable before release What we are looking for - 100% alignment with our Ops Principles (if you feel this isn’t you, do not apply) - Excitement for building in Go - Experience working with AI/ML systems, LLMs, or data-intensive applications - High ownership mindset and attention to detail - Strong interest in quality, reliability, and system performance, not just building features - Ability to debug complex systems across prompts, models, and data pipelines - Clear communication and documentation skills - Comfort improving systems and processes, not just using them - Experience with evaluation methods, metrics, or experimentation is a strong plus - Familiarity with monitoring, CI/CD, and production systems is a plus Background Strong candidates often come from: - AI/ML engineering or applied AI roles - Backend or systems engineering roles with exposure to AI/ML - Data science roles with strong engineering and production experience - Other paths that demonstrate building and improving real-world systems with rigor Logistics This role is remote or on-site in our Berlin office. We do not offer any Visa support for Germany at this time. Benefits - Direct ownership of one of the most critical parts of the company: AI quality and reliability - Work closely with founders on core product and technical decisions - Competitive salary and meaningful stock options - Educational stipend to support ongoing learning and development - The best team to work with (true story!) Process - Step 1: AI Application Screen (immediate) - Step 2: AI Recruiter Interview (right after successful AI Application Screen) - Step 3: AI Skills-Assessment (right after successful AI Recruiter Interview) - Step 4: Interview with Co-founder - Step 5: Interview with the team (incl. Live Case Study) - Step 6: References + Offer - Duration: 1 week, end-to-end 🌈 We proudly believe in the power of diversity and inclusion. Diversity of thought fuels our success which can only be achieved with a diverse team. We welcome people from any race, orientation, gender, religion, age, ethnicity, differently-abled, neurodiverse or identity, we value all uniqueness.

About Pure Fishing Pure Fishing is a global leader in the fishing tackle industry, with a portfolio of iconic brands that includes Abu Garcia®, Berkley®, Fenwick®, Frabill®, PENN®, Pflueger®, Plano®, Savage Gear®, Shakespeare®, SpiderWire®, Ugly Stik®, and many more. The brands that came together to form Pure Fishing were founded by inventors and innovators responsible for many of the advancements in the fishing tackle industry that anglers worldwide benefit from today. Our team of industry-leading experts and our global network of operations and innovation hubs strive to find those next innovations and produce world-class products designed to delight our consumers, strengthen business for our customers, and build love for our brands globally. But to us fishing is not just about business, it is about time shared with family and friends, for some the peace derived from time on the water or for others the thrill of the battle and satisfaction of the earned triumph, and for all that feeling you get with every catch. We are a passionate team hungry to win while dedicated to creating memorable experiences with our brands and products and helping anglers everywhere have more fun catching more fish. We want your next day on the water to be your best day on the water. At Pure Fishing we have high expectations for Execution, we strive to Empower our people every day, expect and encourage Authenticity. AI Developer Intern (Applied AI/GenAI) Job Summary Ready to build AI that actually gets used? As an AI Developer Intern, you’ll be part of our AI@Work program—designing and deploying real-world AI solutions that solve meaningful business challenges across customer service, e-commerce, marketing, and operations. This isn’t just an internship, it’s a hands-on opportunity to build production-ready tools and potentially launch your full-time career with us. What will you do? • Design and build AI-powered workflows using LLMs, retrieval systems, and orchestration frameworks • Develop user-facing tools using Python frameworks like Streamlit or Flask • Integrate AI solutions with APIs, databases, and internal business systems • Translate real business problems into scalable technical solutions • Write clean, structured, and production-ready code • Participate in code reviews and technical design discussions • Collaborate with non-technical stakeholders to refine and improve solutions • Iterate on tools using real user feedback • Help move AI solutions from concept to fully deployed systems What makes you a great catch? • Senior-level Computer Science student (or recent graduate) • Strong Python skills and experience building real-world applications • Hands-on experience with LLM APIs (OpenAI, Anthropic, Gemini, etc.) • Familiarity with modern AI tools (RAG, vector databases, prompt engineering, agents) • Experience deploying and maintaining live applications • Ability to think in systems, scalability, and long-term impact • Strong communication skills and ability to explain technical concepts clearly • Proven ability to take ownership and deliver finished solutions Why you will love it here • Work on real AI projects with direct business impact • Gain hands-on experience beyond theory, build tools people actually use • Mentorship from experienced AI leaders and engineers • Opportunity to convert to a full-time AI Developer role after graduation • Be part of building a new, innovative AI function from the ground up Your work environment • Remote internship with future opportunity to work on-site in Charleston, SC • Flexible schedule (15–20 hours per week minimum) • Fast-paced, collaborative, and innovation-driven • Milestone-based work with real accountability and ownership What you will need to succeed • A builder’s mindset—focused on shipping, not just experimenting • Strong problem-solving and critical thinking skills • Ability to work independently while collaborating across teams • Comfort navigating ambiguity and turning ideas into solutions • Passion for applied AI and creating real-world impact