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As a Customer Service Representative (Entry Level), you?ll be an essential part of our team, assisting clients with inquiries, policy details, and administrative support. Whether it?s answering questions, processing requests, or collaborating with brokers, you?ll play a vital role in ensuring a smooth client experience. Key Responsibilities: Communicate effectively with clients to address their insurance inquiries and concerns Assist brokers with policy documentation, processing renewals, and endorsements Maintain organized client records and provide administrative support Work collaboratively within a team-oriented environment to ensure excellent service Learn and develop industry knowledge while supporting brokers and clients Ideal Candidate Qualifications: Bilingual (French and English preferred) Strong teamwork and interpersonal skills Previous experience in insurance or as a broker is preferred but not required Secondary school or college education required Active RIBO license preferred, but not mandatory (training available) Excellent communication and customer service abilities What We Offer: A welcoming, family-oriented workplace with strong community values Training and development opportunities to help you grow in the insurance industry Competitive salary and benefits package * The opportunity to make an impact within rural communities Job Type: Full-time Pay: $40,000.00-$75,000.00 per year Work Location: In person

Antipastos is seeking a friendly and reliable individual to join our team. This position requires weekday, and occasional weekend availability. Experience working as a cashier in a grocery store environment is an asset. Excellent customer service skills and the ability to work under pressure in a fast paced environment is crucial. Flexible work hours, Ideal for work/life balance. Antipastos' business hours are Monday to Friday 9:00am - 6:00pm , Saturday and Sunday 9:00 am - 5:00 pm. pm. Closed on all Statutory holidays. This posting requires availability Thursdays, Afternoons and the Occasional Weekend. Specific skills and duties include but are not limited to: Greet and answer customer inquiries Operate the cash register and POS system Complete all forms of payment transactions Bag customer groceries Stock of work area and other sections of the store Maintain a clean and safe work environment Adhere to Health and Safety policies and procedures Pay: $17.95-$18.25 per hour Ability to commute/relocate: St. Catharines, ON L2W 1A3: reliably commute or plan to relocate before starting work (preferred) Experience: sales: 1 year (preferred) Customer service: 1 year (preferred) Work Location: In person

WHO ARE WE? We are a proud Canadian company in operation since 1993. We are a well-established leader in Power Tools, Power Tools Accessories, Hand Tools and other categories. Our operations include five retail store locations, a distribution center, and a head office. We offer a wide selection of leading national brands and the latest products on the market. We proudly serve a broad range of customers, including contractors, tradespeople, and industrial users. As we continue to expand, we are creating new opportunities for our team to grow and succeed with us. WHAT WE OFFER OUR EMPLOYEES? We are expanding and hiring candidates who are looking for growth and development opportunities Competitive compensation Comprehensive Benefit Package ? extended health, dental, long term disability, and term life insurance All Staff are full-time which creates a stable work environment. Not required to work Sundays, evenings, or statutory holidays We are offering advancements through multiple channels - Retail, Distribution, and Head Office KEY RESPONSIBILITIES Deliver exceptional customer service by assisting every customer with professionalism, courtesy, and care. Accurately process customer transactions using cash, debit, credit cards, and other approved payment methods. Scan and process merchandise accurately and efficiently. Operate cash registers, POS systems, electronic scanners, and computers with accuracy. Issue receipts, process refunds and exchanges, and respond to customer inquiries. Promote and stay informed about current sales, promotions, memberships, and store programs. Maintain clean, organized, and well-stocked checkout areas, display cases, shelves, and aisles. Follow all company policies, procedures, and loss prevention guidelines. Assist with general store duties and perform other responsibilities as assigned by the Store Manager or Supervisor. REQUIREMENTS This is a full-time, permanent position. Availability to work Monday through Saturday, up to 40 hours per week. Saturday availability is mandatory. Flexibility to work at other Summit Tools locations as required to provide operational coverage. Willingness to work overtime when operational needs require. Store hours are Monday to Friday, 8:00 a.m. to 5:30 p.m., and Saturday, 9:00 a.m. to 5:00 p.m. Minimum of two (2) years of retail and cashier experience. Grade 12 diploma or equivalent. Strong keyboarding and computer skills. Strong mathematical, written, and verbal English communication skills. Experience working in a fast-paced, high-volume retail environment is considered an asset. Excellent organizational, multitasking, and attention-to-detail skills. Strong customer service, communication, and problem-solving abilities. Ability to stand for extended periods and safely lift, push, and pull up to 25 lbs. Successful completion of a criminal record check. Self-motivated, dependable, professional, outgoing, and able to work effectively in a team-oriented environment. We thank all that apply, however only successful candidates will be contacted. Job Types: Full-time, Permanent Pay: $21.00-$22.00 per hour Benefits: Dental care Paid time off Vision care Application question(s): Do you have strong keyboarding and computer skills? ? Are you proficient in operating a cash register and POS system? Experience: * Cashiering: 2 years (required) Work Location: In person

Qui sommes-nous ? N2JSoft est une fintech B2B SaaS spécialisée dans la digitalisation des processus RH et financiers. Avec plus de 20 000 clients et 1 million d'utilisateurs dans 98 pays, nos solutions N2F et Keeple s'imposent comme des références sur le marché français. N2F est une solution complète de gestion des dépenses professionnelles (notes de frais, cartes corporate, factures fournisseurs), et Keeple centralise la gestion RH du quotidien (congés, absences, temps de travail) le tout dans une interface simple, intuitive et 100% connectée (app web et mobile). Portés par une équipe engagée, qui place l'humain au centre de ses priorités, nous poursuivons une ambition claire : devenir le leader européen de la gestion des dépenses professionnelles. Dans ce contexte, nous recherchons un(e) Développeur(se) spécialisé(e) en Intelligence Artificielle pour renforcer notre équipe R&D et accélérer le développement de nos solutions innovantes. Tu travailleras sur la conception, l'intégration et l'industrialisation de cas d'usage IA (LLM, Machine Learning, RAG, automatisation) au service de nos produits SaaS. Missions principales : Conception et développement de solutions IA en Python. Mise en place de pipelines RAG (Retrieval Augmented Generation) pour améliorer la pertinence des modèles, Exploitation du cloud AWS et en particulier des services IA/LLM (ex. Bedrock), Intégration d'outils IA et d'orchestration (N8N, OpenAI, Claude, …), Expérimentation et amélioration continue via prompt engineering et fine-tuning de modèles, Veille technologique sur les innovations IA et proposition d'idées/concepts pour enrichir nos produits, Collaboration avec les équipes produit, data et dev pour industrialiser des solutions IA fiables et scalables. Compétences techniques attendues : Maîtrise du langage Python. Expérience sur AWS (idéalement Bedrock, Lambda, S3, etc.), Bonne culture des APIs IA (OpenAI, Claude, etc.). C'est un plus si : Première expérience en mise en production de solutions IA/LLM Connaissances avancées en LLM et techniques de prompting, Pratique du RAG et des architectures de recherche de données contextuelles, Familiarité avec des outils d'orchestration et d'automatisation (ex. N8N ), Soft skills : Force de proposition : capable de transformer la veille technologique en solutions concrètes, Autonomie et rigueu r dans le développement, Goût pour le travail collaboratif (produit, QA, data, dev), Curiosité et capacité à vulgariser l'IA pour des profils non techniques. Profil recherché : Expérience confirmée (3 à 5 ans minimum) en développement logiciel (si possible sur des projets IA) Expérience dans un contexte cloud (idéalement AWS ), Ce que ce poste n'est PAS : de la data science (pas de modélisation statistique, pas d'entraînement de modèles maison), un rôle de recherche LLM ou NLP, un poste MLOps centré sur l'infrastructure ou la gestion de clusters, un rôle orienté expérimentation académique. Ce poste est bel et bien un rôle de développeur(se) logiciel : il s'agit de concevoir, intégrer et industrialiser des fonctionnalités IA directement dans nos produits SaaS. Tech, pragmatique, orienté production. Pourquoi nous rejoindre ? Un environnement stimulant et innovant, Des défis techniques stimulants à fort impact technologique dans une culture de la qualité et du partage, Une vraie autonomie dans les choix techniques, et du temps pour faire bien, Un cadre de travail flexible : télétravail possible avec une semaine de présence par trimestre. Les avantages chez N2JSOFT : Prime de vacances, Chèques cadeaux à Noël, Chèques rentrée scolaire (si tu as des enfants), Chèque culture, Cours de musique, Événements d'équipe toute l'année. Poste en CDI avec full remote possible (une semaine de présence par trimestre requise). #N2JSOFTPRIO Find Jobs in France on Arbeitnow

About Us At LangChain, our mission is to make intelligent agents ubiquitous. We build the foundation for agent engineering in the real world, helping developers move from prototypes to production-ready AI agents that teams can rely on. We began as widely adopted open-source tools and have grown to also offer a platform for building, evaluating, deploying, and operating agents at scale. With $125M raised at Series B from IVP, Sequoia, Benchmark, CapitalG, and Sapphire Ventures, we're at a stage where we're continuing to develop new products, growth is accelerating, and all team members have meaningful impact on what we build and how we work together. LangChain is a place where your contributions can shape how this technology shows up in the real world. Today, our platform includes LangSmith (Observability, Evaluation, Deployment, Fleet, and Sandboxes), our open source frameworks (LangChain, LangGraph, and Deep Agents), and the newly launched LangSmith Engine for autonomous agent improvement. We have 100M+ monthly open source downloads, 6,000+ active LangSmith customers, and 5 of the Fortune 10 use LangSmith in production (+ 35% of the Fortune 500 overall), including teams at Klarna, Clay, Coinbase, Workday, Lyft, Cloudflare, Harvey, Rippling, Vanta, LinkedIn, Monday.com, Nvidia, and Bridgewater. About LangChain At LangChain, our mission is to make intelligent agents ubiquitous. We help developers build mission-critical AI applications across the entire agent development lifecycle. Our open source frameworks — LangChain and LangGraph — see over 70+ million downloads per month. Developers rely on LangChain for composable integrations and LangGraph for controllable agent orchestration. Our commercial agent platform, consisting of LangSmith and LangGraph Platform, enables teams to build, test, run, and manage agents at scale across their organization. Founded in 2023, LangChain powers top engineering teams at companies like Replit, Lovable, Clay, Klarna, LinkedIn, and more. About the role We're hiring a Technical Support Engineer to lead our customer support experience for highly technical users, from AI engineers to infrastructure architects. You'll be on the front lines helping teams debug production LLM applications and agents, improve AI observability and evaluations, and unblock critical issues. You'll also help define what world-class technical support looks like for modern AI platforms Key Responsibilities Be the go-to escalation point for technical support inquiries—diagnosing issues across customer setup, LangChain products, and deployment issues. Work directly with engineering, operations, documentation, and product teams to resolve bugs, suggest patches, and advocate for customer needs. Partner with Deployed Engineering to support critical enterprise customers. Build and refine internal tooling, diagnostics, and runbooks for complex issue triage . Lead post-mortems for critical incidents and feed learnings back into product and documentation. Help refine KPIs for support health (MTTR, CSAT, bug recurrence) and drive continuous improvement. Improve documentation and knowledge articles to improve 1-to-many resources and provide proactive support. Mentor and coach other support engineers. How to be successful in this role 4+ years in technical support, solutions engineering, or SRE roles in deeply technical B2B environments (e.g., observability, infrastructure, data platforms). Expert troubleshooting skills across APIs, SDKs, distributed systems, and cloud-native stacks . Programming experience with Python. Bonus if you have TypeScript experience. Hands-on knowledge of Kubernetes and Docker Comfort working with logs, traces, metrics in Datadog, and 3rd-party integrations (e.g., OpenTelemetry, LLM providers). Experience supporting enterprise customers and collaborating with engineering on complex escalations. A bias for clarity and continuous improvement: you write succinct, helpful, and accurate responses and build a foundation for case deflection. High ownership — want to do what's best for the customer and the company and are relentlessly results oriented Compensation & Benefits Competitive salary and equity stake for role and stage of company. Commensurate with experience. Annual salary range: £80,000 - £110,000 Compensation Philosophy: We offer competitive compensation that includes base salary, variable compensation for relevant roles, meaningful equity, benefits, and perks. We are hiring for this role across a range of scope, and the compensation band reflects that. Your offer depends on what we learn about your impact, craft, leadership, and communication during the interview process. We will tell you early where you're tracking and talk comp with you before offer stage. Team members in the EU, UK, and APAC receive locally competitive benefits aligned with regional norms and regulations. Benefits Benefits include medical, dental, and vision coverage, flexible vacation, a 401(k) plan, meals on in-office days in the US and more. Find Jobs in United Kingdom on Arbeitnow

About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, led by Co-Founders who created and led Forward Deployed AI Engineering at Palantir, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system starts from what a customer already has: knowledge base articles, support conversations, tickets, system logs, and agent traces. From that evidence it reverse-engineers how the business actually runs and writes the process down as instructions a person can inspect and an agent can execute, with confidence scoring to know when to automate and when to seek human input. We're looking for AI Research Engineers who have built complex, production LLM-based systems. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll work on our agentic learning environment: the loops that turn human corrections and agent outcomes into better knowledge and instructions over time. The job combines applied research with ownership of production systems. You find a failure, form a hypothesis, run the experiment, and ship the fix into real customer workflows. You'll spend most of your time advancing our core context-learning library and the harness that powers our agents across every customer. The work spans continuous learning, context engineering, agent orchestration, and evaluation. You'll contribute to our knowledge benchmarks and to the self-improving capabilities of the harness. What You'll Do Build and extend our core context-learning library, turning customer-informed problems into reusable platform capabilities. Design and implement LLM-powered systems and agentic workflows from concept to production. Build agentic features for knowledge management: agents that can edit, update, and maintain large knowledge bases autonomously. Build continuous learning loops that use human corrections and production outcomes to find knowledge gaps, detect changed procedures, and improve prompts and instructions. Build reliability and confidence systems: evaluation frameworks, confidence scoring, and logic for when to automate and when to escalate to a human. Architect async, scalable systems that handle complex AI orchestration. Contribute to the direction of our AI strategy and product capabilities. What We're Looking For You've built a complex, production LLM system with real depth: multiple layers of engineering decisions you can walk through, including what changed after real users arrived. You have practical depth in one or more of context engineering, retrieval, agent orchestration, memory, evaluation, or learning from feedback. You have experimental judgment. You can turn an ambiguous problem into a testable hypothesis, set a baseline, and tell a real improvement from noise. You're excited by open-ended problems where the solution might not exist yet. You can navigate between research papers and production code with equal comfort. You're a strong communicator who can explain your work to teammates and customers. You have 3+ years of professional experience. Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we're building Our founders point of view on the market Compensation & Benefits Edra offers generous compensation and benefits in both New York & London: Competitive base salary & meaningful equity Top tier health, dental, & vision plans: Top plans with 100% premium coverage in the US (and a One Medical membership) Private medical & dental coverage in the UK Flexible paid time off Lunch provided in office most days, snacks & drinks too A stipend to set up your workspace A Few Details We work together in person five days a week from our offices New York and London. Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic. Find more English Speaking Jobs in United Kingdom on Arbeitnow

YOUR JOB Do you want to build AI that goes beyond impressive demos and actually works at scale? As our AI Engineering Lead, you'll take on the harder challenge: turning ambitious ideas into trusted, production-ready technology. You'll lead a specialist team, shape the architecture behind our AI ambitions and play a defining role in how AI transforms DataGuard. WE PROTECT THE PEOPLE BEHIND THE DATA We are a fast-growing security and compliance tech company with a clear purpose: we protect the people behind the data. With over 200 team members worldwide and with offices in Munich, Berlin, London, Stockholm, and Vienna, we help more than 4,000 global customers get certified fast and build a strong and scalable risk posture. With AI-powered automation, self-serve capabilities, and additional tailored expert advice, we offer our customers a seamless security and compliance experience to stay ahead of the rapidly evolving security landscape and challenges like the surge in cyber-attacks. WHAT YOU'LL BE DOING Own the target architecture for DataGuard's AI technology and guide the transition from early-stage solutions to reliable, scalable production systems Lead and develop our three-person AI functional team, setting clear technical direction, priorities and meaningful development paths Understand the DataGuard product ecosystem and identify where AI can create genuine customer and business value across the platform Define robust engineering standards for validation, reliability, observability, testing, security, documentation and controlled releases Partner with Engineering, Product, Data Operations and selected business teams to deliver high-value AI initiatives without creating unsupported or unscalable solutions Balance architectural depth with pragmatic delivery, making thoughtful trade-offs while maintaining momentum in an ambitious scale-up environment WHAT YOU'LL GET IN RETURN The proper tools and capacities to build up and lead an ambitious, international team with diverse skill sets Enjoy the freedom and trust to bring in and execute your ideas with a quick pace, autonomy, and the ability to make impactful decisions. Gain strategic insights into management topics with the opportunity to actively contribute, working closely alongside leadership and executive peers. Rapid development opportunities, attractive performance bonuses, and the opportunity to strengthen your leadership skills and business expertise Step into a stable, forward-looking role within a dynamic scale-up poised to shape the fast-growing Security & Compliance industry THE QUALITIES YOU'LL NEED FOR A SUCCESSFUL CAREER AT DATAGUARD Excellent academic background in computer science, machine learning, mathematics or a related quantitative field Strong experience taking AI/ML systems from prototype to reliable, scalable production Excellent architectural judgement and the ability to make clear, pragmatic technical trade-offs Experience leading a specialist team while remaining technically credible and hands-on High engineering standards across testing, observability, security and release quality Strong communicator who can turn complex AI topics into clear decisions across technical and business teams LAST BUT NOT LEAST. FROM THE BOTTOM OF OUR HEARTS: No matter your origin, ethnicity, gender identity, religion or individual requirements; at DataGuard, all that counts is the person you are. As Guards and Guardettes, we are united not only by our dedication, but also by our shared belief in our purpose: Protect the people behind the data. Convince us with your personality and your skills – and together we will make great things happen. We are looking forward to meeting you! #LI-DNI Find more English Speaking Jobs in Germany on Arbeitnow

Was Sie bei JETPLAN bewegen JETPLAN entwickelt Software, mit der Elektrikerinnen und Elektriker Kundenprojekte mobil, digital und direkt vor Ort im Grundriss planen. Als AI Engineer (m/w/d) treiben Sie die KI-Entwicklung unserer Plattform voran, damit Änderungswünsche, Angebote und Installationspläne noch effizienter entstehen. Ihr Beitrag im Team Sie konzipieren, trainieren und implementieren KI-Modelle für unsere Planungssoftware. Sie integrieren intelligente Funktionen direkt in die mobilen und digitalen Arbeitsabläufe unserer Anwenderinnen und Anwender. Sie analysieren Daten aus Kundenprojekten, um Automatisierungspotenziale zu identifizieren. Sie arbeiten eng mit der Softwareentwicklung zusammen, um KI-Lösungen nahtlos in die Architektur einzubinden. Das bringen Sie mit Sie haben fundierte Erfahrung im Bereich Artificial Intelligence und Data Science sowie im Umgang mit gängigen Frameworks. Wenn Sie nicht alle Anforderungen zu hundert Prozent erfüllen, freuen wir uns dennoch auf Ihre Bewerbung. Ihre ersten Monate bei JETPLAN In den ersten Wochen machen Sie sich mit unserer Codebasis und den spezifischen Anforderungen des Handwerks vertraut. Sie setzen erste KI-gestützte Features um und bringen eigene Ideen für die Weiterentwicklung unserer Planungsplattform ein. Find Jobs in Germany on Arbeitnow

At 5Plus (part of Pentadoc Group), we build production-grade AI systems that solve real operational problems for our customers. As a Working Student - AI Engineering , you will help design, build, and deploy AI applications - from LLM-powered workflows (e.g., intelligent document processing) to agentic systems that integrate deeply into our customers' business processes. You'll work hands-on alongside experienced engineers and take on real responsibility from day one. This role is hybrid (remote + Würzburg) and fits flexibly around your studies. Your daily business Build and ship features for AI systems, from prototype to production Develop LLM-powered applications (incl. RAG, tool usage, validations) with a focus on reliability and cost-efficiency Contribute to agentic systems (e.g., planning, tool orchestration, multi-step workflows) and their integrations into customers' systems Set up evaluations – test datasets, metrics, benchmarks, and monitoring Help optimize systems across latency, cost, and quality Work with customers and the team to turn real-world problems into concrete technical solutions Your profile Enrolled in Computer Science, Data Science, AI, or a related field Solid Python skills First hands-on experience with LLMs or ML tooling - from university, side projects, or internships Curiosity about what makes LLM applications reliable, safe, and scalable Ability to work independently and take ownership of your tasks Some bonus points to score Experience with agentic architectures (planning, memory, multi-agent coordination) Experience with cloud infrastructure (AWS, Azure, etc.) Proficient in German (written and spoken) Own projects on GitHub, open-source contributions, or technical writing Some of your benefits at 5Plus Real ownership: Work on AI solutions that go live quickly Learn from a small, experienced team with fast decision-making Flexible working hours that fit your study schedule, and freedom to choose your workplace Learning budget and support for conferences Option to write your Bachelor's or Master's thesis with us To plan an initial conversation quickly, please make sure your application contains all relevant documentation and information, you'd like to share with us. We look forward to meeting you! Find more English Speaking Jobs in Germany on Arbeitnow

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers' cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic's Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Design the path from a business requirement to a working data and AI system. You will work directly with our founders and engineers to turn discovery findings into architecture decisions, implementation plans and tested components. Our architecture and advisory work connects enterprise data platforms with generative AI, AI agents and business applications. Depending on the engagement, solutions run on AWS, Snowflake, Databricks, Google Cloud or customer-managed infrastructure. What you will do Translate business workflows, existing systems and data constraints into clear solution designs, with explicit assumptions and acceptance criteria. Design data flows connecting ingestion, storage, retrieval, model inference, APIs and downstream enterprise systems. Evaluate trade-offs across cloud services, open-source components and on-premises deployment, including security, reliability, cost and maintainability. Create architecture diagrams, technical decision records and delivery estimates; contribute to discovery workshops and design reviews. Validate important assumptions with Python, SQL, API integrations or infrastructure prototypes, then work with engineers on implementation. Specify access controls, evaluation, observability and human approval steps for enterprise RAG and agentic workflows. What you bring Current university enrollment in a relevant technical discipline, combined with substantial hands-on experience building software or data systems. Evidence that you have delivered systems used by others and can explain your own design choices, implementation and operational lessons. Strong Python and SQL skills, practical cloud experience and an understanding of APIs, data modeling and deployment. Applied understanding of large language models, retrieval-augmented generation and the data foundations these systems require. The judgement to own a defined workstream, surface risks early and communicate technical decisions clearly in English. Experience with Amazon Bedrock, Anthropic Claude, Terraform, Lakehouse architecture or technical discovery with business stakeholders is valuable. Depth in one relevant environment matters more than familiarity with every platform. What you can expect You will contribute to customer-facing architecture and implementation, work closely with the founders and receive substantive design and code review. Your part-time scope and schedule will be planned around your studies. How to apply Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Include a short example of a system you helped design and build: the problem, your contribution and a trade-off you made. An anonymised explanation is welcome; please do not share confidential client material. We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you. Stay connected Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions. LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/ Website: https://agentixlake.com/ Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude Find more English Speaking Jobs in Germany on Arbeitnow

IMPORTANT Application note Please apply only through this job portal. Kindly do not send applications or recruitment messages by email or LinkedIn. Only applications submitted through the portal will be considered. Thank you. About AgentixLake AgentixLake GmbH is a Data and AI engineering consultancy based in Hamburg, Germany. We design, build and operate production-grade data platforms and AI systems in our customers' cloud accounts or on-premises environments. We are an AWS Services Partner and a Certified Services Partner in Anthropic's Claude Partner Network. Our commercial focus is DACH and the Gulf region, alongside selected international opportunities. Your role Build AI application components that are ready to be tested, deployed and maintained. You will take ownership of defined engineering work within our generative AI projects, collaborating with colleagues on implementation, review and operational quality. Our team builds enterprise AI solutions that connect models with useful data and tools. Your work may contribute to document intelligence, knowledge assistants, governed analytics or AI agents that support engineering and operational workflows. What you will do Develop Python services and integrations connecting language models to enterprise data, APIs and tools. Implement document ingestion, chunking, embeddings and retrieval, with source references that users can inspect. Build structured extraction and validation workflows for complex documents and downstream business systems. Implement defined agent steps, including tool calls, permission checks, error handling and human approval. Maintain evaluation cases and compare retrieval quality, answer usefulness, latency and cost as the application changes. Contribute automated tests, deployment configuration, logging and documentation through reviewed pull requests. What you bring Current university enrolment in computer science, AI, data science or a related technical discipline. Strong practical Python skills and evidence of software you have delivered for actual users, including responsibility for testing and deployment. Hands-on experience with an LLM application involving retrieval, tool use or structured outputs, and the ability to explain its limitations. Comfort working with APIs, JSON, Git and code review, and taking a defined task from an agreed requirement to a maintainable implementation. Clear English communication and an evidence-based approach to debugging and evaluating system behaviour. Experience with Amazon Bedrock, Anthropic Claude, FastAPI, Docker, vector databases or self-hosted models is valuable. We value sound implementation decisions more than the number of frameworks on your CV. What you can expect You will contribute to real delivery work with direct access to experienced engineers and the founders. Expect clear ownership, thoughtful code review and a part-time scope planned around your studies. How to apply Use the Apply button on this page to submit your CV, current study details, location and weekly availability. Explain one AI application you built, your individual contribution, how you evaluated it and what you improved after testing. An anonymised description is welcome; please do not share confidential client material. We welcome applicants of all backgrounds. If the core responsibilities match your experience, we would like to hear from you. Stay connected Follow AgentixLake on LinkedIn for practical engineering insights, project updates and future opportunities. Following is optional and does not influence recruitment decisions. LinkedIn: https://www.linkedin.com/company/agentixlakegmbh/ Website: https://agentixlake.com/ Explore our production AI work with Claude: https://agentixlake.com/production-ai-with-claude Find Jobs in Germany on Arbeitnow

WE'RE HIRING | SALES ASSOCIATES Join the Eyeconcept Team Eyeconcept is a luxury optical boutique specializing in exclusive designer brands, high-end eyewear, and the latest trends in fashion and style. We are looking for motivated, passionate, and fashion-forward individuals to join our growing team. If you have a passion for luxury fashion, enjoy working with people, and take pride in delivering exceptional customer service, we'd love to hear from you. Key Responsibilities Deliver an exceptional and personalized customer experience. Assist clients in selecting designer eyewear that complements their style and personality. Develop strong product knowledge across luxury eyewear brands. Build lasting relationships with clients and provide personalized recommendations. Meet sales targets and contribute to store performance. Maintain a professional, welcoming, and luxurious retail environment. What We're Looking For Strong communication and interpersonal skills. A passion for fashion, luxury brands, and eyewear. Confident, outgoing, and customer-focused personality. Motivated, ambitious, and sales-driven attitude. Professional appearance and positive attitude. Previous retail or sales experience is an asset. Flexible availability, including evenings, weekends, and holidays. Why Join Eyeconcept? Work with some of the world's most exclusive eyewear brands. Be part of a growing luxury retail business. Develop your sales and customer service skills. Opportunity for growth and career advancement. Work in a dynamic environment surrounded by fashion and luxury. Interested in joining our team? Send your resume to info@eyeconcept with the subject line Sales Associate Application ? Eyeconcept. We look forward to meeting you! Pay: From $18.00 per hour Expected hours: 20.0 ? 35.0 per week Work Location: In person