RAY AI

We are hiring full-time Automation Engineers to support entrepreneurs and founders across the US and Europe. As an Automation Engineer, you will be the operational backbone behind visionary leaders—leveraging your technical expertise, organizational excellence, and proactive mindset to help them reclaim their time and focus on what truly matters. Your Responsibilities: - Implement and maintain efficient digital operations systems for email, calendar, task, and project management. - Coordinate and optimize daily workflows across productivity tools such as Asana, ClickUp, Notion, or Trello. - Manage and protect the founder’s time through smart scheduling, inbox management, and proactive communication. - Integrate and automate processes using n8n, Zapier, Make (Integromat), or Google Workspace automations to streamline repetitive tasks. - Support data management and documentation, ensuring organized digital filing systems in Google Drive, Dropbox, or SharePoint. - Conduct market, competitor, and operational research, and create data-driven reports and dashboards. - Oversee CRM management (HubSpot, Salesforce, or Pipedrive)—updating pipelines, tracking leads, and ensuring data accuracy. - Assist with digital marketing operations, such as scheduling posts, managing newsletters, and analyzing campaign performance in Meta Business Suite, Mailchimp, and Canva. - Facilitate smooth communication and collaboration using Slack, Zoom, Microsoft Teams, and Calendly. - Support internal knowledge management using tools like Notion, Confluence, or Airtable. - Leverage AI-powered tools (e.g., ChatGPT, Notion AI, Fireflies, Reclaim.ai, or Otter.ai) to improve productivity, summarization, and workflow efficiency. - Regularly evaluate, test, and recommend new technologies to enhance business processes and digital performance. What we look for: - Bachelor’s degree or equivalent professional experience. - Proven experience as a technical, operations, or executive assistant, ideally within a fast-paced, digital-first or startup environment. - Advanced proficiency in: - n8n, make (integromat), Windows Power Automate, Google Workspace, Zapier, - Familiarity with AI and automation tools (ChatGPT, Notion AI, Otter.ai, Reclaim.ai, Fireflies, etc.). - Excellent English communication skills (C2 level)—both written and verbal. - Strong problem-solving ability, analytical mindset, and attention to detail. - Ability to manage multiple priorities with organization, accuracy, and discretion. - High Agency — proactive, self-motivated, and able to anticipate needs before they arise. - Passion for digital operations, workflow design, and continuous process improvement. What we offer: - Performance-based bonuses that can add up to 3 months’ worth of salary - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

We are seeking a highly skilled Data Scientist with deep expertise in modern AI/ML systems, including LLMs, multimodal models, fine-tuning techniques, and advanced retrieval architectures. In this role, you will design, prototype, and deploy AI-powered solutions that leverage state-of-the-art language, vision, and agentic frameworks. You will work closely with engineering, product, and research professionals across the US and Europe to bring cutting-edge AI capabilities into production environments. Your Responsibilities: - Design, build, and optimize LLM-powered systems using OpenAI, Anthropic, and open-source/local model families. - Architect and implement RAG pipelines, including hybrid search, query rewriting, prompt optimization, and reranking strategies. - Develop and maintain vector database infrastructures (Pinecone, Weaviate, Qdrant) for large-scale embedding storage and fast retrieval. - Train, evaluate, and retrain embedding models for domain-specific semantic search and knowledge retrieval. - Build and integrate multimodal AI solutions using OCR, CLIP, and modern vision architectures for text-image understanding. - Apply fine-tuning techniques (LoRA/QLoRA) to adapt foundation models to organizational datasets and specialized tasks. - Develop production-ready AI applications using Python, PyTorch, and modern orchestration frameworks. - Implement LLM orchestration with LangChain or LlamaIndex, including evaluators, tool abstractions, memory, and RAG components. - Establish robust evaluation frameworks to measure model performance, reduce hallucination, and ensure reliability in production. - Build agentic workflows using AutoGen, CrewAI, or similar frameworks to power automation and multi-agent collaboration systems. - Stay current with research trends and apply theoretical and practical insights in Generative AI to drive innovation across the organization. What we look for: - Experience in applied machine learning or data science, with at least 2 years focused specifically on LLMs or Generative AI. - Demonstrated experience building end-to-end RAG, fine-tuning, or multimodal AI systems. - Strong proficiency in Python, PyTorch, and AI tooling ecosystems. - Experience deploying models at scale in production environments. - Strong understanding of evaluation metrics, model reliability, and safety/reduction of hallucination. - Familiarity with vector embeddings, vector databases, and semantic search. - Experience with agent frameworks such as AutoGen, CrewAI, or LangGraph-like toolkits. - Experience with distributed training, model optimization, quantization, or GPU acceleration. - Knowledge of DevOps/MLOps tooling for deploying LLM-based systems. - Contributions to open-source LLM or RAG projects. What we offer: - Competitive salary and performance-based bonuses. - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

We are seeking a highly skilled Cloud Engineer & Infrastructure Security professional to design, build, and secure our hybrid infrastructure (cloud + on-prem). The ideal candidate will have deep experience with Kubernetes, Terraform, Helm, and a strong background in infrastructure security, DevSecOps, and on-prem deployments. This role is critical for architecting scalable, secure, and observable infrastructure supporting mission-critical applications and LLM (Large Language Model) workloads. Your Responsibilities: - Infrastructure & Cloud Management - Deploy and manage Kubernetes clusters (cloud & on-prem) using Terraform and Helm. - Design secure network topology (VPCs, VPNs, firewalls). - Infrastructure Security & Zero Trust - Implement zero trust models, IAM, and least-privilege access. - Enforce security policies, micro-segmentation, and secrets management. - DevSecOps & CI/CD Security - Integrate security scanning, SBOM, and policy-as-code into pipelines. - Automate compliance and security checks during build and deploy. - LLM & Hybrid Deployments - Build and maintain infrastructure for LLM workloads (vLLM, KServe). - Support hybrid cloud and on-prem deployments ensuring consistency and security. - Monitoring & Observability - Implement monitoring, logging, and alerting using Grafana, Azure Monitor, Prometheus. - Maintain dashboards, SLIs/SLOs, and performance metrics. - Linux & Automation - Harden Linux systems, automate routine tasks, and support incident response. - Develop scripts and tools to streamline operations. - Collaboration & Strategy - Partner with engineering, security, and operations teams. - Mentor teams on cloud best practices and emerging technologies. What we look for: - Strong experience with Kubernetes, including cluster provisioning, scaling, and security. - Proficient in Terraform and Helm for infrastructure-as-code and deployment automation. - Expertise in infrastructure security, zero trust models, and IAM best practices. - Hands-on experience with DevSecOps: security scanning, SBOM generation, secrets management, and policy-as-code. - Solid understanding of cloud networking: VPC design, VPN, and firewall configuration. - Experience with hybrid or on-prem deployments alongside cloud environments. - Skilled in Linux administration, scripting, and automation for operational efficiency. - Familiarity with monitoring and observability tools (Azure Monitor, Grafana, Prometheus). - Experience building and managing infrastructure for LLM or AI workloads (vLLM, KServe). - Nice - to - have: - Cloud and security certifications (e.g., CKA/CKAD, Terraform Associate, CISSP). - Experience with GitOps workflows (Argo CD, Flux) and CI/CD security pipelines. - Knowledge of policy frameworks (OPA, Gatekeeper, Kyverno) and workload identity systems (SPIFFE/SPIRE). - Familiarity with GPU/accelerator-based infrastructure for ML/LLM workloads. - Background in SRE practices, including SLO/SLI design and incident response. - Contributions to open-source cloud, DevSecOps, or LLM infrastructure projects. What we offer: - Competitive salary and performance-based bonuses. - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

A Message from Our CEO: We are hiring full-time Automation Engineers to support entrepreneurs and founders across the US and Europe. As an Automation Engineer, you will be the operational backbone behind visionary leaders—leveraging your technical expertise, organizational excellence, and proactive mindset to help them reclaim their time and focus on what truly matters. Your Responsibilities: - - Implement and maintain efficient digital operations systems for email, calendar, task, and project management. - Coordinate and optimize daily workflows across productivity tools such as Asana, ClickUp, Notion, or Trello. - Manage and protect the founder’s time through smart scheduling, inbox management, and proactive communication. - Integrate and automate processes using n8n, Zapier, Make (Integromat), or Google Workspace automations to streamline repetitive tasks. - Support data management and documentation, ensuring organized digital filing systems in Google Drive, Dropbox, or SharePoint. - Conduct market, competitor, and operational research, and create data-driven reports and dashboards. - Oversee CRM management (HubSpot, Salesforce, or Pipedrive)—updating pipelines, tracking leads, and ensuring data accuracy. - Assist with digital marketing operations, such as scheduling posts, managing newsletters, and analyzing campaign performance in Meta Business Suite, Mailchimp, and Canva. - Facilitate smooth communication and collaboration using Slack, Zoom, Microsoft Teams, and Calendly. - Support internal knowledge management using tools like Notion, Confluence, or Airtable. - Leverage AI-powered tools (e.g., ChatGPT, Notion AI, Fireflies, Reclaim.ai, or Otter.ai) to improve productivity, summarization, and workflow efficiency. - Regularly evaluate, test, and recommend new technologies to enhance business processes and digital performance. What we look for: - Bachelor’s degree or equivalent professional experience. - Proven experience as a technical, operations, or executive assistant, ideally within a fast-paced, digital-first or startup environment. - Advanced proficiency in: - n8n, make (integromat), Windows Power Automate, Google Workspace, Zapier, - Familiarity with AI and automation tools (ChatGPT, Notion AI, Otter.ai, Reclaim.ai, Fireflies, etc.). - Excellent English communication skills (C2 level)—both written and verbal. - Strong problem-solving ability, analytical mindset, and attention to detail. - Ability to manage multiple priorities with organization, accuracy, and discretion. - High Agency — proactive, self-motivated, and able to anticipate needs before they arise. - Passion for digital operations, workflow design, and continuous process improvement. What we offer: - Monthly salary ranging from Ksh 60,000 to Ksh 100,000. - Performance-based bonuses that can add up to 3 months’ worth of salary - Fully remote, flexible work environment. - Modern laptop and hardware provided by us. - Specialized training in AI, automation, and digital productivity tools. - Global exposure—collaborate with top-tier founders and fast-growing startups. - Continuous learning and career growth opportunities in an international environment.

Project: Real-World Image Capture for AI Model Training Location: Remote / Field-Based Engagement Type: Freelance, On-Demand (Client-Driven Volume) Compensation: Pay-Per-Series About the Role We are looking for reliable, detail-oriented individuals to join our global network of Visual Data Collectors supporting AI model training. This role does not require professional photography experience. Instead, success in this position depends on your ability to follow detailed instructions precisely and capture authentic, real-world moments that reflect everyday life. Your contributions will help train AI systems to better understand lighting, perspective, depth, and environmental context using real, unedited imagery. How the Work Operates - On-Demand Projects: Work availability is based on client demand. Some periods may have higher volume than others. - Flexible Schedule: When projects are active, you work on your own schedule, provided deadlines are met. - Output-Based: Compensation is strictly tied to approved deliverables, not time spent. Scope of Work You will create photographic Series, each representing one real-world scenario. What is a Series? - One scenario captured through 5–6 required photos - Examples include: someone drinking coffee, fixing a light, walking in a park, or a family picnic - Images must look natural and unstaged Important Notes - Photos do not need to be artistic or complex - Accuracy, clarity, and realism are essential - All images must strictly follow provided technical and content guidelines Key Responsibilities - Capture authentic, believable real-life scenarios - Ensure correct focus, lighting, and environmental consistency - Organize and label images according to required metadata standards - Submit completed series via Google Drive - Obtain signed indemnity forms for all human subjects (template provided) - Avoid visible logos, brand names, or copyrighted materials Requirements - Equipment: Smartphone or digital camera capable of at least 7 MP images - Reliability: Ability to follow instructions exactly—near-correct data cannot be used - No Editing: Images must be raw; no filters, retouching, or AI tools permitted - Access: Ability to shoot in varied environments (home, streets, parks, cafés, etc.) - Compliance: Willingness to adhere strictly to ethical and legal data-collection standards Compensation & Payment Terms - Base Rate: $3.50 per approved Series (each Series = 5–6 photos of one scenario) - Pay-Per-Output: Payment is issued only for submissions that fully meet quality and guideline requirements - Efficiency Potential: Contributors who optimize their workflow may earn the equivalent of up to $28/hour based on approved output (not guaranteed) - Volume Incentives: Higher rates or bonuses may be offered to contributors who consistently submit 100+ approved series - No Fees: We do not charge applicants or contributors any fees at any stage Next Steps If you have: - A smartphone or camera - Access to everyday environments - Strong attention to detail - The ability to follow detailed instructions We encourage you to apply. Selected applicants will receive full documentation outlining file specifications, metadata requirements, and submission workflows.