This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position is posted by Jobgether on behalf of a partner company. We are currently looking for an AI & Automation Engineer, Endpoint Systems in the United States. In this hands-on engineering role, you will design and optimize modern endpoint environments using automation and AI-driven technologies. You will play a key role in building scalable and intelligent device management systems that improve operational efficiency and enhance the end-user experience. Working within a cloud-first, security-focused environment, you will implement automation workflows, develop self-healing solutions, and proactively monitor endpoint health across distributed systems. This role combines technical depth in endpoint engineering with innovation in AI-powered IT operations. You will collaborate closely with security, infrastructure, and product teams while helping shape the future of intelligent endpoint management. The position is ideal for a builder who enjoys automating processes, improving systems, and exploring new technologies to drive efficiency. Accountabilities - Design, deploy, and manage modern endpoint environments across Windows and macOS platforms while ensuring performance, scalability, and reliability. - Implement and maintain endpoint management platforms such as MDM and device management tools, adopting an automation-first approach to streamline operations. - Develop automation workflows using scripting, APIs, and orchestration tools to reduce manual intervention and increase operational efficiency. - Integrate AI-powered solutions to enhance endpoint analytics, proactive remediation, security monitoring, and overall user experience. - Build self-service and self-healing systems that automatically resolve common endpoint issues and minimize support requests. - Collaborate with security teams to enforce endpoint compliance policies, patch management strategies, and protection frameworks. - Monitor endpoint telemetry and performance metrics to proactively detect issues, troubleshoot system behavior, and implement continuous improvements. - Evaluate emerging AI, automation, and endpoint technologies to recommend improvements and support long-term platform strategy. Qualifications - 4+ years of experience in endpoint engineering, desktop engineering, or end-user computing environments. - Strong experience with modern endpoint management platforms such as Intune, Jamf, or comparable MDM/MAM solutions. - Proficiency in scripting and automation tools, particularly PowerShell, with additional experience in Python, Bash, or similar languages considered a plus. - Experience integrating systems via APIs and building automated workflows across enterprise platforms. - Familiarity with AI-assisted tools and technologies used to enhance IT operations and endpoint management. - Solid understanding of endpoint security, identity management, and device compliance practices. - Experience working in cloud-first or zero-trust infrastructure environments. - Strong analytical and troubleshooting skills with the ability to approach complex system issues from a holistic perspective. - Excellent communication skills and a proactive mindset focused on automation, continuous improvement, and innovation. Benefits - Competitive salary and performance-based compensation package. - Comprehensive healthcare and wellness benefits. - Flexible work arrangements including remote work options. - Professional development opportunities and continuous learning support. - Collaborative and inclusive work environment focused on innovation. - Exposure to cutting-edge AI, automation, and cybersecurity technologies. - Opportunities for career growth within a rapidly evolving technology environment.

About Us At Because, our mission is to empower older adults to lead independent and fulfilling lives. We started in 2017 with a simple goal – to make it easier for older adults and their families to access the products they need. Today, we are on our way to becoming the #1 trusted brand for older adults – a fast-growing and often overlooked user segment. Our commitment to excellence has earned us recognition as an Inc. Best in Business 2022 honoree, Inc. Best Workplaces 2025 honoree, and our products have been featured in Forbes, CBS, and Fast Company. We’re also proud to be a Certified Great Place to Work, reflecting our dedication not only to our customers but also to our team. Since our founding, we have helped over 1 million customers get the products they need to live at their best. Because products can be found online at BecauseMarket.com, Target.com, Amazon, CVS, and Walmart. We’ve raised over $70M in funding from top VC firms, including Index Ventures and Khosla Ventures, and we are grateful for the support from our customers, partners, and investors. Learn more about us at https://becausemarket.com/pages/careers. Position Summary We are looking for an AI Native, someone who lives in Cursor, Claude Code, and Google AI Studio and treats AI as their primary teammate, not just a search tool. This role is purpose-built for high-intensity, early-career engineers (fresh out of college or self-taught prodigies) who are eager to bypass legacy corporate structures and start shipping automation that saves the team tangible hours from Day 1. You won't just be "prompting"; you will be building the "glue" that connects models, data, and systems to automate everything that isn't worth our human time. If you’re currently using AI to 10x your own productivity and want to be paid to do the same for a high-growth startup, we want to see your GitHub. Why This Role? - Skip the "Junior" Track: We don’t care about years of experience; we care about output. You’ll be given ownership of critical workflows from Day 1. - Work with the Best: You’ll report directly to our technical leadership (Gabriele), getting a front-row seat to how a high-growth startup actually scales. Position Responsibilities - AI Orchestration: Build and maintain the "glue" between AI models and internal tools. - Rapid Prototyping: Ship 80% solutions in hours/days, not weeks. - Problem Finding: Proactively identify tasks that "aren't worth the team's time" and automate them. - Technical Querying: Handle complex data/AI queries to support leadership. What you Bring: - GitHub Portfolio: Active history of commits and code quality (Mandatory). - Tool Proficiency: Expert-level use of AI coding agents (Claude, Cursor, etc.). - Background: CS or Engineering degree (or equivalent proven technical depth). - Mindset: High initiative; you do the next 3 steps before being asked. Who You Are: - You are "AI Native": You’ve likely never written code without an AI agent open in another tab. You move faster than traditional engineers because you know how to orchestrate models. - You’re a High-Velocity Learner: Maybe you just finished your degree, but you’ve already built three side projects and your GitHub is a graveyard of "weekend experiments." - Ready to Make Impact: You want to ship code that hits real customers today, not in six months. - Proactive to a Fault: You don’t wait for a “Jira ticket”; you find the friction and fix it.

ORCHID SOFTWARE SOLUTIONS AI Developer TypeScript & Python Location: Fully Remote | Type: Full-Time Independent Contractor Salary: $30 - $50 USD per hour About Us Orchid Software Solutions builds tailored software that improves efficiency, transparency, and outcomes in the assisted reproduction technology (ART) industry. We are assembling a dedicated AI squad to spearhead intelligent product capabilities and integrate seamlessly with our existing development teams. The Opportunity We’re looking for a versatile AI Developer to join our newly formed AI squad. In this role, you will architect, build, and ship RAG pipelines, conversational AI features, and intelligent knowledge-retrieval systems—all tightly integrated into our TypeScript-based product ecosystem. You’ll partner closely with product and engineering teams to deliver AI-powered experiences that directly impact patient care and clinic operations. TypeScript is the primary language for application development and integration. Python experience is a strong plus, enabling you to contribute to model development, fine-tuning, and data preprocessing alongside the broader AI squad. What You’ll Do - Design, develop, and deploy RAG systems that retrieve and generate contextually relevant responses, leveraging TypeScript, Node.js, and vector databases (e.g., Pinecone, Weaviate). - Build production-grade conversational AI features—chatbots, virtual assistants, and guided workflows—embedded in our web and mobile applications. - Create and maintain robust APIs (REST and GraphQL) that serve AI outputs to product teams and downstream consumers. - Integrate with cloud-based AI services (e.g., AWS Bedrock, Hugging Face Inference API) and orchestration frameworks (e.g., LangChain, LlamaIndex) to power intelligent features. - Leverage libraries such as TensorFlow.js or ONNX.js for client-side and server-side AI inference where low-latency, on-device processing is required. - Collaborate with ML engineers and data scientists to incorporate pre-trained models, embeddings, and fine-tuned LLMs into TypeScript applications—using Python when needed for training and preprocessing. - Work hand-in-hand with product teams to embed AI capabilities into React/Next.js front-ends and Node.js back-ends. - Optimize AI features for performance, scalability, cost-efficiency, and exceptional user experience. - Contribute to reusable TypeScript components, SDKs, and internal tooling that accelerate AI adoption across the product portfolio. What We’re Looking For Required - 4+ years of professional software development experience with TypeScript and JavaScript. - Solid understanding of AI/ML concepts, particularly NLP, conversational AI, and retrieval-augmented generation. - Proficiency with Node.js and modern front-end frameworks (React, Next.js). - Hands-on experience with AI inference libraries (TensorFlow.js, ONNX.js, or equivalent). - Experience designing and consuming REST and GraphQL APIs, including integration with cloud-based AI services. - Familiarity with vector databases or vector search libraries (e.g., Pinecone, Weaviate, pgvector). - Strong problem-solving skills with a track record of shipping scalable, production-quality features. - Excellent collaboration skills—able to work effectively with cross-functional teams in a remote environment. Strongly Preferred - Python proficiency for AI/ML workflows: model training, fine-tuning, embedding generation using frameworks such as Hugging Face Transformers, SentenceTransformers, or PyTorch. - Experience with RAG orchestration frameworks (LangChain, LlamaIndex) or conversational AI platforms (Botpress, Rasa). - Familiarity with exporting and optimizing models for ONNX or TensorFlow.js runtime formats. Nice to Have - Experience with cloud AI deployment on AWS, GCP, or Azure. - Exposure to healthcare, biotech, or fertility technology domains. - Contributions to open-source AI/ML projects or published technical writing on AI topics. Why Join Orchid’s AI Squad - Shape the AI strategy from the ground floor—join a purpose-built squad with real ownership and influence over the technical direction. - Work in a TypeScript-centric environment with opportunities to leverage Python for advanced ML tasks. - Collaborate with cross-functional product teams to deliver AI features that have a meaningful impact on reproductive healthcare. - Access cutting-edge tools, cloud AI services, and a culture that prioritizes continuous learning and innovation. - Enjoy the flexibility and autonomy of a fully remote, contractor-friendly team. Essential Requirements - Fluency in business English (spoken and written). - Must have your own computer and a stable internet connection. - Must be able to pass a background check to qualify for this contractor role. Orchid Software Solutions • Fully Remote • Independent Contractor

MTS – Senior Software Engineer Role Overview Kamiwaza is seeking a Senior Software Engineer (MTS) to architect and build core platform components that enable seamless GenAI deployment for enterprise customers. In this role, you will design and develop foundational systems across GenAI serving infrastructure, model management, distributed systems, cluster orchestration, data pipelines, APIs, and service front ends. You will play a critical role in delivering a secure, scalable, and exceptional developer experience while bringing cutting-edge GenAI capabilities into production. This role is ideal for an engineer who thrives on building complex systems, thinking in architectures, and turning emerging GenAI techniques into reliable enterprise-grade infrastructure. Key Responsibilities - Architect and develop high-performance, reliable systems for GenAI model serving, data orchestration, and distributed computing - Build and scale infrastructure for embeddings, retrieval systems, data catalogs, and evaluation workflows - Design and maintain secure, scalable APIs with a strong emphasis on developer experience - Enhance deployment pipelines, observability tooling, and operational best practices to ensure platform resilience - Collaborate cross-functionally to evaluate emerging GenAI research, benchmarks, and techniques — bringing the most impactful innovations into production - Contribute to platform-level decisions around cluster management, orchestration, and service reliability Minimum Requirements - 5+ years of professional software engineering experience building and scaling complex platforms or distributed systems - Strong proficiency in Python, including designing, developing, and debugging production-grade services - Working familiarity with AI/ML concepts and a strong interest in staying current with GenAI advancements - Experience with cloud infrastructure (AWS, GCP, or Azure), DevOps practices, and security fundamentals - Demonstrated ability to decompose complex technical challenges into scalable, maintainable solutions - Excellent collaboration and communication skills with a strong sense of ownership and accountability Preferred Qualifications - BS or MS in Computer Science, Software Engineering, or a related field - Open source contributions related to GenAI, distributed systems, or data orchestration - Experience with cloud networking (DNS, VPC configuration, infrastructure security) - Strong quantitative background (math, physics, ML, or related fields) - Experience using GenAI tools to augment development workflows - Familiarity with enterprise software development lifecycles from architecture through post-deployment support Why Join Us? Purpose & Impact: Be a key contributor to the GenAI revolution, shaping how enterprises adopt next-generation technology. Remote-First Culture: Based in Colorado, but work from anywhere with the tools and support you need. Expert Founders with Successful Exits: Our leadership team brings experience and a relentless enthusiasm for GenAI innovation. High-Autonomy Environment: Flat organizational structure, transparent communication, and minimal red tape. Competitive Compensation & Equity: Own a piece of our high-potential, well-funded startup. Comprehensive Benefits: We offer low-deductible medical plans, dental and vision coverage, disability and life insurance, 401(k) with 4% match, flexible spending accounts, health savings accounts, paid time off, and remote work support. Who We Are We're a small, driven team building a platform that makes GenAI deployment feel like magic. Our approach: curious, humble, but relentless. We're fun, kind, and exceptional—serious about making an impact but never taking ourselves too seriously. We operate with high urgency but think for the long term—action creates clarity. How to Apply Ready to build the foundation of the GenAI revolution? Please send your resume to letsbuild@kamiwaza.ai. Include GitHub (or equivalent) code samples, a system design you’re proud of, and any evaluation or benchmark work that demonstrates your technical rigor. P.S. If you use GenAI to craft your application, we’ll probably find out — and we’d love to learn more about how you did it! Compensation: This role offers a base salary between $150,000 and $250,000, plus equity and benefits. Actual compensation will reflect an individual’s experience, impact, and location.