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.

AI Developer TypeScript & Python Location: Fully Remote | Type: Full-Time 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 will 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 be able to pass a background check to qualify for this contractor role.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.

Please submit your CV in English and indicate your level of English proficiency. Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment. What this opportunity involves While each project involves unique tasks, contributors may: - Design graduate- and industry-level automotive engineering problems grounded in real practice; - Evaluate AI-generated solutions for correctness, assumptions, and engineering logic; - Validate analytical or numerical results using Python (NumPy, SciPy, Pandas); - Improve AI reasoning to align with first principles and accepted engineering standards; - Apply structured scoring criteria to assess multi-step problem solving. What we look for This opportunity is a good fit for automotive engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have:  - Degree in Automotive Engineering or related fields, e.g. Mechatronics, Manufacturing Engineering, Mechanical Engineering, Aerospace Engineering, etc. - 3+ years of professional automotive engineering experience - Strong written English (C1/C2) - Strong Python proficiency for numerical validation - Stable internet connection  Professional certifications (e.g., PE, CEng, PMP) and experience in international or applied projects are an advantage. How it works Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid Project time expectations For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. Payment - Paid contributions, with rates up to $55/hour*  - Fixed project rate or individual rates, depending on the project - Some projects include incentive payments *Note: Rates vary based on expertise, skills assessment, location, project needs, and other factors. Higher rates may be offered to highly specialized experts. Lower rates may apply during onboarding or non-core project phases. Payment details are shared per project.