Role Description At Poka, we’re transforming how frontline teams operate, learn, and solve problems. Our connected worker platform is purpose-built for manufacturing, empowering frontline workers to share knowledge, collaborate in real-time, and drive continuous improvement. As a Forward Deployed Engineer (FDE) at Poka, you’ll work directly with leading manufacturers to identify, design, and deliver high-impact AI and integration solutions inside real operations. This isn’t a traditional solutions or consulting role. You’ll own outcomes end-to-end. What you’ll be doing: - Partner with customers to deeply understand their operations, systems, and priorities — and identify where AI and integrations can unlock value. - Lead discovery sessions and technical discussions, shaping high-impact use cases and defining realistic solution approaches. - Design and build integrations between Poka and enterprise systems (ERP, MES, CMMS, etc.) using APIs and middleware tools. - Develop AI-powered workflows and agents (e.g., operator assistants, intelligent triage, document processing, anomaly detection) using modern LLM frameworks. - Own delivery end-to-end — from scoping and architecture to implementation, testing, and handoff. - Support strategic deals by contributing to pre-sales conversations, workshops, and technical deep dives. - Collaborate closely with Product, Engineering, and Services to refine solutions and translate field learnings into scalable capabilities. - Contribute reusable integration templates and AI workflow patterns that can scale across customers. - Travel to customer sites (~25–35%) for workshops, discovery, and key delivery moments. Qualifications - Experience in a customer-facing technical role (e.g., Solutions Architect, Sales Engineer, Integration Consultant, or similar). - Strong hands-on experience building AI agents, LLM-powered workflows, or automation solutions — this is your core strength. - Practical experience working with LLM APIs (OpenAI, Anthropic) and building real-world use cases (not just experimentation). - Solid grounding in system integrations, APIs, and connecting enterprise platforms. - Ability to quickly go from ambiguous problem → working prototype using tools like Python, Node.js, and modern AI stacks. - Confidence bridging business and technical conversations, from frontline operations to IT stakeholders. - Strong problem-solving skills and the ability to adapt solutions to real-world constraints. - Comfort working in ambiguity and helping shape a new, evolving capability within Poka. - Familiarity with manufacturing systems or industrial environments is a strong plus. Benefits - Dynamic and collaborative work environment. - Generous vacation policy upon arrival. - Remote work policy. - A truly flexible schedule that allows you to adapt your work hours. - Benefits Plan offered from day one. - MacBook Pro and €500 allowance for your home office. - Generous referral bonus. - The tools, support, and opportunities you need to keep learning and progressing in your career. Company Description We’re proud to support global leaders like Nestlé, Bosch, Mars, and Danone in their digital transformation journeys and as part of the IFS family, our reach and impact continue to grow globally. Please note: An understanding of English is essential at Poka, as it is the language used during company-wide meetings and many internal communications, ensuring effective collaboration and decision-making.

Title: Quality Assurance Engineer Location: Aurora, Colorado, 80014, United States Department: Technology Job Description: Compensation: $65K - 75K annually At American Financing, we're innovators with imagination. We do what it takes to help customers achieve their financial goals. And we stay ahead of the competition by challenging ourselves to become more efficient. We are one of the fastest-growing national mortgage lenders because we don't follow the status quo. See what it's like to work for a national mortgage lender that truly values its employees. Wherever your passions lie, you can find rewarding work and new opportunities here. - Casual work environment - Hybrid schedule for local employees - Family-owned, Customer-focused - Denver Post Top Workplace - Top 50 Family-Owned Business - Best of Colorado Business - Inc. 5000 Fastest-growing Private Company JOB SUMMARY The QA Analyst will serve as part of the cross-functional product teams. This role will be responsible for quality in the products and will manage technical and functional testing, test data, test environments, and the direct support of end-users encountering bugs in the system. WHAT YOU WILL BRING - Bachelor’s Degree in Computer Science, Engineering, or a related field preferred. - Minimum 3 years of related experience in software quality assurance required. - Strong experience with web-specific QA methodologies, modern web browsers, responsive design testing, and web traffic inspection tools. - Solid understanding of HTML, CSS, JavaScript, and how web applications interact with APIs. - Experience with Agile/Scrum development workflows and familiarity with test management/bug tracking tools (e.g., Jira, TestRail). - Proficiency in accessing and querying SQL and NoSQL databases to validate data integrity and storage accuracy. Ability to independently manage test data and verify backend results to enhance test case efficiency. - Experience navigating Linux server environments to independently access and analyze application logs for troubleshooting, without requiring development support. - Experience with a scripting language (Python, Bash, PowerShell, Ruby, etc.) in the context of debugging, log parsing, or testing web applications. DUTIES AND RESPONSIBILITIES - Review requirements, specifications, and technical designs to build comprehensive test cases and scripts, focusing primarily on manual testing. - Build and perform Unit, Regression, and UAT testing cycles for various web applications. - Act as the gatekeeper for releases to Staging and QA environments. Track and publish testing KPIs for release testing cycles. - Perform robust compatibility testing across various operating systems (Windows, macOS), mobile devices (iOS, Android), and modern web browsers (Chrome, Edge, Safari, Firefox), ensuring responsive design integrity. - Utilize Browser Developer Tools (Chrome DevTools, Safari Web Inspector, etc.) to inspect the DOM, analyze network traffic, and debug frontend errors/console logs. - Validate API endpoints, testing headless endpoints, RESTful services, and webhood backend integrations using tools like Postman or SoapUI. - Verify web cookies, local storage, session states, JSON payloads, custom data layer objects and cache behaviors. - Accessibility & Performance: * Conduct basic web accessibility testing compliance (WCAG 2.1, Section 508) using screen readers or automated tools like Lighthouse or Axe. - Assess website page-load performance, Core Web Vitals (LCP,INP,CLS), and responsiveness under various network conditions. - Environment & Account Management: Designate test accounts across environments and manage access. - Defect Tracking & User Feedback: Identify, record, document thoroughly, and track bugs. Perform thorough regression testing when bugs are resolved. Track quality assurance metrics, like defect densities and open defect counts. - Continuous Improvement: Collect user feedback on product quality/reliability and integrate it into testing tools and/or scripts. Stay up-to-date with new testing tools and test strategies. Compensation: $65K - 75K annually WHAT WE BRING - Medical, Dental, Vision, 401k - Paid time off and sick days - Paid holidays - Long-term paid disability - Paid maternity and bonding leave - Full desk equipment provided American Financing Corporation (AFC) is an Equal Opportunity Employer. AFC does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis protected by law.

• Develop, refine, and calibrate rating algorithms, methodologies, and donate-weight normalization. • Build ratings across multiple dimensions: from global and regional scales to niche, highly professional segments. • Organize and automate data collection from external sources. • Design integrations to enrich our rating databases. • Translate product tasks into development—from raw requirements to fully functioning algorithms, data pipelines, and automation. • Implement and coordinate AI agents for data labeling, classification, and routine process automation.

Role Description Join Runware as a Senior Machine Learning Engineer and be at the forefront of developing innovative AI solutions across various media modalities including text, image, video, 3D, and audio. We're building a powerful AI media creation platform designed to revolutionize how content is generated. As a Senior Machine Learning Engineer, you’ll take the lead on critical projects, guiding the end-to-end lifecycle from research and experimentation to production deployment and performance monitoring. Your work will help shape the capabilities of our platform and enhance the experiences of users who rely on our cutting-edge AI technologies. What You'll Be Doing - Integrate open-source and third-party models into our inference platform - Lead fine-tuning initiatives (LoRA, adapters, PEFT, domain adaptation) - Optimise inference workloads for latency, batching, memory efficiency, and throughput - Benchmark model quality vs cost vs performance across modalities - Improve inference startup times and stability under high load - Build evaluation frameworks and internal tooling for model validation - Work closely with Infrastructure and Backend teams on scalable serving systems - Monitor production performance and drive continuous optimisation - Mentor engineers and help raise the ML engineering bar across the team Qualifications - Proven experience delivering ML systems to production environments - Strong, low-level Python skills and deep hands-on experience with PyTorch - Experience working with diffusion models, LLMs, or multimodal architectures - Practical experience fine-tuning large models (LoRA, PEFT, adapters, etc.) - Experience optimizing inference workloads in GPU environments - Strong understanding of model evaluation, experimentation, and monitoring - Ability to debug performance, memory, and reliability issues in production - Strong systems thinking understanding how ML decisions impact infrastructure - High ownership and comfort operating in a fast-paced startup environment Requirements - Experience with vLLM or custom inference servers - Experience with Kubernetes or containerised ML workloads - Experience working in high-throughput distributed systems - Background in AI media generation (image, video, audio) - Experience building internal ML tooling or developer-facing APIs - Experience with kernels in CUDA/C++ Benefits - Generous paid time off – vacation, sick days, public holidays - Meaningful stock options – share in the upside you create - Remote-first setup – work from home anywhere we can employ you - Flexible hours – own your schedule outside core collaboration blocks - Family leave – paid maternity, paternity, and caregiver time - Company retreats – twice-yearly gatherings in inspiring locations