Freelance and remote jobs

We are seeking an experienced Senior ServiceNow Developer for a fully remote contractor position with an international organization. The role focuses on delivering enterprise-scale ServiceNow ITSM solutions and implementing AI-powered, automated service management capabilities. The successful candidate will manage the end-to-end delivery of ServiceNow ITSM initiatives, including solution design, development, automation, Now Assist and GenAI implementation, integrations, testing, deployment, operational support and technical leadership. Design, develop, configure and enhance ServiceNow ITSM solutions across Incident, Change, Request, Problem and Knowledge Management. Build and maintain workflows, Flow Designer automations, SLAs, notifications, approvals and reusable platform components. Lead ITSM automation initiatives using Flow Designer, Integration Hub, orchestration and intelligent ticket handling. Implement and optimize Now Assist and GenAI capabilities, including AI use cases, skills, prompt design, testing, governance and adoption. Develop and maintain Script Includes, Business Rules, Client Scripts, UI Policies, Scripted REST APIs and integrations. Design secure, scalable and maintainable integrations with enterprise applications using REST APIs and modern integration patterns. Support the full software development lifecycle, including requirements gathering, technical design, development, SIT/UAT, deployment, hypercare and production support. Provide technical leadership through peer reviews, governance, estimation, risk assessment, documentation and mentoring. Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or a related discipline. At least 8 years of hands-on ServiceNow development experience. Demonstrated experience delivering complex, enterprise-scale ServiceNow ITSM implementations. Proven production experience implementing multiple ServiceNow Now Assist capabilities and skills. Experience defining adoption and governance strategies for AI-enabled ITSM solutions. Strong experience with ITSM automation across Incident, Request Fulfilment, Change and Knowledge Management. Hands-on experience with Flow Designer, Integration Hub, intelligent routing, approvals and workflow automation. Strong knowledge of ServiceNow architecture, development standards and best practices. Fluent written and spoken English. Certifications Mandatory: ServiceNow Certified System Administrator (CSA). ServiceNow Certified Application Developer (CAD). Certified Implementation Specialist – ITSM (CIS-ITSM). Preferred: Implementer – Now Assist for ITSM. ServiceNow GenAI or other AI-related certifications. Agentic AI-related certifications, where available. Nice-to-Have Experience Experience implementing Agentic AI solutions within ServiceNow. Knowledge of AI Agents, Agentic AI frameworks and Autonomous Workforce capabilities. Experience with the Common Service Data Model (CSDM). Experience with ServiceNow EA, SPM, CMDB, ITOM or ITAM modules. Work Arrangement Fully remote position. Full-time contractor engagement. Availability required during Central European Time (CET) working hours. Immediate or urgent hiring requirement. Key Technologies and Skills ServiceNow, ServiceNow ITSM, Now Assist, GenAI, AI-Assisted ITSM, Agentic AI, Flow Designer, Integration Hub, ServiceNow Automation, Predictive Intelligence, Virtual Agent, Service Catalog, Script Includes, Business Rules, Client Scripts, UI Policies, REST APIs, CSDM, CMDB, ITOM, ITAM, Enterprise Architecture (EA), Strategic Portfolio Management (SPM), SIT and UAT. Read more

We are seeking an experienced Senior ServiceNow Developer for a fully remote, full-time contractor position with an international organization. The role focuses on delivering enterprise-scale ServiceNow ITSM solutions, AI-powered service management capabilities, Now Assist, GenAI and automation. The successful candidate will manage the end-to-end delivery of ServiceNow initiatives, including solution design, development, automation, integrations, testing, deployment, troubleshooting and operational support. Design, develop, configure and enhance ServiceNow ITSM solutions across Incident, Change, Request, Problem and Knowledge Management, Service Catalog, Platform Analytics, Predictive Intelligence and Virtual Agent. Develop workflows, Flow Designer automations, SLAs, notifications, approvals and reusable platform components. Lead ITSM automation initiatives using Flow Designer, Integration Hub, orchestration and intelligent ticket handling. Implement and optimize Now Assist and GenAI capabilities, including AI use cases, skills, prompt design, testing, governance and adoption. Develop and maintain Script Includes, Business Rules, Client Scripts, UI Policies, Scripted REST APIs and integrations. Design scalable, secure and maintainable integrations with enterprise applications using REST APIs and modern integration patterns. Participate across the SDLC, including requirements gathering, technical design, development, SIT/UAT, deployment, hypercare and production support. Provide technical leadership through peer reviews, governance, estimation, risk assessment, documentation and mentoring. Requirements Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering or a related field. At least 8 years of hands-on ServiceNow development experience. Proven experience delivering complex, enterprise-scale ServiceNow ITSM implementations. Production experience implementing multiple ServiceNow Now Assist capabilities and skills. Experience defining adoption and governance approaches for AI-enabled ITSM solutions. Strong knowledge of ITSM automation, including Incident, Request Fulfilment, Change and Knowledge Management. Hands-on experience with Flow Designer, Integration Hub, intelligent routing, approvals and workflow automation. Strong understanding of ServiceNow architecture, development standards and best practices. Fluent written and spoken English. Mandatory certifications: ServiceNow Certified System Administrator (CSA). ServiceNow Certified Application Developer (CAD). Certified Implementation Specialist – ITSM (CIS-ITSM). Preferred certifications: Implementer – Now Assist for ITSM. ServiceNow GenAI or other AI-related certifications. Agentic AI-related certifications, where available. Nice-to-have experience: Implementing Agentic AI solutions within ServiceNow. Working with AI Agents, Agentic AI frameworks and Autonomous Workforce capabilities. Experience with CSDM, CMDB, ITOM, ITAM, EA or SPM. Work Arrangement This is a fully remote, full-time contractor position. Candidates must be available to work during CET working hours. Key Technologies and Skills ServiceNow, ServiceNow ITSM, Now Assist, GenAI, AI-assisted ITSM, Agentic AI, Flow Designer, Integration Hub, ServiceNow Automation, Predictive Intelligence, Virtual Agent, Service Catalog, Script Includes, Business Rules, Client Scripts, UI Policies, REST APIs, CSDM, CMDB, ITOM, ITAM, EA, SPM, SIT and UAT. Read more

Design, develop and continuously improve secure, scalable and maintainable enterprise solutions using Microsoft Copilot Studio and the Power Platform. Design, build, integrate and maintain Microsoft Copilot Studio agents for internal business processes. Create agent topics, conversation flows, triggers, actions and logic using knowledge sources such as SharePoint, Dataverse and Microsoft Graph. Develop Canvas Apps and Model-driven Apps with Power Apps. Build and optimise Power Automate workflows to automate business processes. Design Dataverse data models, including tables, relationships, business rules and security roles. Use Power Fx for business logic, validation and user interactions. Implement Generative AI and Retrieval-Augmented Generation (RAG) solutions where appropriate. Integrate Power Platform solutions with Microsoft 365, Teams, Azure services and other enterprise systems using APIs and connectors. Use Azure Functions, Logic Apps, API Management and Azure AI Services when required. Apply enterprise governance, security, compliance and Application Lifecycle Management practices. Monitor performance, usage, errors and costs, and support incident, change, release and production operations. Take responsibility for solution resiliency, availability, scalability and maintainability. Document solution architecture, interfaces, data flows and operational processes. Provide technical guidance on architecture, platform capabilities, scalability and make-or-buy decisions. Work collaboratively as a productive member of an international consulting team. Requirements 3–7+ years of experience with Microsoft Power Platform. 1–2+ years of hands-on experience with Microsoft Copilot Studio or comparable conversational AI and agent solutions. Proven experience delivering production-grade enterprise solutions. Strong knowledge of Power Apps, Power Automate, Dataverse and Power Fx. Experience with Microsoft 365, SharePoint, Microsoft Graph, REST APIs, custom connectors and standard connectors. Understanding of Azure AI Services, Generative AI, RAG and modern automation architectures. Experience with enterprise architecture, integration patterns, governance, security, compliance and ALM. Knowledge of Entra ID, role-based access control, Data Loss Prevention, data protection and compliance requirements. Experience using Power Platform solutions, environments, pipelines, Git and Azure DevOps. Ability to identify process patterns, automation opportunities and technical dependencies. Ability to clarify business requirements and communicate technical concepts clearly to stakeholders. User-centred approach focused on business value, usability and adoption. Ability to consider permissions, governance, data protection and compliance from the outset. Willingness to keep up with Microsoft AI and Power Platform developments and evaluate their business value. Ability to take ownership across requirements analysis, development, testing, deployment and production support. Fluency in English is mandatory. Employment and Benefits Fixed-term employment contract. Work-life balance. Flexible working mode. International and collaborative consulting culture. Clear career development paths. Comprehensive Swedish benefits package focused on well-being, mobility and career growth. Read more

Assess and compare two B2B SaaS concepts for the Cyprus market: an AI compliance/document automation platform and an AI content/listings automation platform. Evaluate market demand, target customer segments, competitive landscape, monetization potential, regulatory considerations, and international scalability. Provide a clear recommendation on which concept offers the stronger commercial opportunity, including the key assumptions to validate with prospective customers. Define a practical MVP scope, prioritizing the highest-value workflows and AI capabilities while avoiding unnecessary early complexity. Outline the recommended product architecture, AI integrations, data/security considerations, and a phased development and launch roadmap. The intended product experience should be clean, trustworthy, and scalable, inspired by modern B2B SaaS UX patterns such as Stripe, Notion, and HubSpot. Read more

This is a remote position. We are seeking a skilled AI Developer with expertise in Python, AI/ML development, AWS Bedrock, and cloud computing. The ideal candidate should have experience working with machine learning frameworks, data engineering, and cloud infrastructure. This role requires strong problem-solving skills, AI model optimization capabilities, and hands-on experience in deploying scalable AI solutions. Budget: 90k monthly Contract Duration: 12 months Work Mode: permanent Remote Yrs. Of Experience: 5+ yrs Immediate Joiners only Requirements Mandatory Skills: Langchain AWS Lambda, SNS, SQS, API Gateway FastAPI PG Vector Database Postman Git Essential Requirements: ✅ Programming & AI Development: 5+ years of experience in Python development with AI/ML focus. Proficiency in AI/ML frameworks like TensorFlow, PyTorch, and scikit-learn. Experience in neural networks, NLP, LLMs, RAG, and computer vision. ✅ Backend & API Development: Experience in RESTful API development using Flask or FastAPI. Strong knowledge of OOP, functional programming, and microservices architecture. ✅ Cloud & DevOps: Experience with AWS Bedrock and other AWS services (S3, Lambda, SageMaker, ECS/EKS, IAM). Hands-on experience with containerization (Docker) and orchestration (Kubernetes). Understanding of CI/CD pipelines and DevOps practices. ✅ Data Engineering & Databases: Strong knowledge of PostgreSQL, MySQL, DynamoDB, and MongoDB. Experience with data pipelines, ETL processes, and Apache Airflow/Spark/AWS Glue. ✅ Version Control & Collaboration: Proficiency in Git and best practices for collaborative development. Familiarity with project management tools like Jira or Trello. Soft Skills: Strong problem-solving and analytical thinking. Excellent communication skills to explain AI models and technical concepts. Ability to work collaboratively in cross-functional teams. Adaptability to learn and implement emerging AI/ML technologies. Job Responsibilities 1. AI & Machine Learning Development: Develop, train, fine-tune, and deploy machine learning models using TensorFlow, PyTorch, scikit-learn, and NumPy. Work with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) Systems, NLP, and computer vision. Integrate and utilize pre-trained AI models, including those in AWS Bedrock. Optimize AI model performance, scalability, and efficiency. 2. Backend Development & API Integration: Design and develop RESTful APIs using Flask or FastAPI for AI model deployment. Implement robust microservices architecture for AI-based applications. Ensure secure, efficient, and scalable backend AI solutions. 3. Cloud & DevOps: Deploy AI solutions using AWS Bedrock and integrate with services like S3, Lambda, SageMaker, ECS/EKS, and IAM. Manage cloud infrastructure provisioning, cost optimization, and security policies. Work with CI/CD pipelines for seamless AI model deployment. Utilize Docker and Kubernetes for containerized deployments. 4. Database & Data Engineering: Design, query, and optimize relational (PostgreSQL, MySQL) and NoSQL (DynamoDB, MongoDB) databases. Develop and automate data pipelines using Apache Airflow, AWS Glue, or Spark. Implement ETL processes for AI data handling. 5. Collaboration & Documentation: Collaborate with data scientists, engineers, and product managers to integrate AI into applications. Write clear documentation for AI models, workflows, and deployment processes. Explain AI concepts to non-technical stakeholders when required. Read more