Role Description We are actively seeking an AI Prompt Engineer for one of our clients. - Must-Haves: - Linguistic Precision: Exceptional command of English grammar and semantics. You can spot the difference between "good" and "great" writing instantly. - Experience with LLMs: Familiarity with GPT-4, Claude, or similar models, including their limitations (hallucinations, bias). - Extreme Attention to Detail: Ability to perform repetitive data review tasks without losing focus or consistency. - Nice-to-Haves: - Annotation Experience: Prior experience with RLHF, data labeling platforms (like Scale AI, Labelbox), or QA roles. - Basic Technical Skills: Proficiency with Excel/Google Sheets (for data organization) or basic Python (for handling JSON data) is a strong plus. - Subject Matter Expertise: Background in Networking to fact-check complex model outputs. Qualifications - Exceptional command of English grammar and semantics. - Familiarity with GPT-4, Claude, or similar models. - Ability to perform repetitive data review tasks with focus. - Prior experience with RLHF or data labeling platforms. - Proficiency with Excel/Google Sheets or basic Python. - Background in Networking. Requirements - Must have strong linguistic skills. - Experience with large language models. - Attention to detail is crucial. Benefits - Salary: $60-$70K. - Remote work opportunity.

• Work alongside senior team members to assess business workflows and identify where AI tools could improve work. • Build and iterate on AI automations and applications based on team feedback. • Participate in coaching sessions with business team members. • Maintain clear documentation for tools and workflows. • Test AI tools before they go to users. • Track and report on business team members' AI skill development. • Research emerging AI tools and platforms applicable to Kong's business. • Follow Kong's AI governance guidelines and collaborate with IT and Security.

Role Description Service-Link, a division of Harris, is seeking an AI Enablement Lead who is responsible for driving the practical adoption of AI tools, processes, and thinking across ServiceLink's business operations. This role does not sit within R&D and is not focused on product development. Instead, it exists to ensure that every department across the organization is equipped, educated, and empowered to leverage AI to improve how we work. This is a cross-functional role with high visibility, reporting directly to the EVP. This remote role welcomes candidates anywhere in Canada and the US. What your impact will be: - AI Adoption & Literacy - Assess AI readiness and maturity across all non-R&D departments (e.g., Finance, Customer Service, Operations, HR, Sales, Professional Services) - Develop and deliver AI training, workshops, and resources tailored to each department's needs and skill level - Demystify AI for non-technical teams - translate capability into practical business value - Use Case Identification, Development & Delivery - Partner with department heads to identify high-impact AI use cases within their workflows - Build and maintain a prioritized backlog of AI opportunities across the organization - Develop lightweight business cases for AI initiatives, including expected outcomes and effort - Design, build, and deploy AI-driven solutions for business operations - including workflow automations, internal tools, bots, prompts, templates, and integrations - Own the full lifecycle from concept through implementation and iteration - Measure outcomes and refine solutions based on user feedback and real-world performance - Governance & Standards - Establish and maintain guidelines for approved AI tools, acceptable use, and data handling - Ensure AI usage across the org is consistent, ethical, and aligned with company policies - Monitor the evolving AI landscape and make recommendations on new tools and practices - Cross-Functional Coordination - Serve as the bridge between R&D's AI capabilities and the business's operational needs - Coordinate with R&D and IT as needed, without owning their roadmaps or technical decisions - Report regularly to the EVP on progress, adoption metrics, blockers, and opportunities - Change Management - Build internal enthusiasm and momentum around AI adoption - Identify and develop AI advocates within each department - Address resistance through education, quick wins, and demonstrated value What we are looking for: - Background in technology, R&D, or product development with a desire to shift toward business enablement - Understanding of AI tools, concepts, and practical business applications - Hands-on ability to build and deploy AI solutions - e.g., automation workflows, AI integrations, chatbots, prompt engineering, low-code/no-code tools, or scripting - Strong communication skills - ability to translate technical concepts for non-technical audiences - Demonstrated ability to work cross-functionally and influence without direct authority - Comfort operating independently with minimal oversight - Experience in the software or utility industry What would make you stand out: - Experience with change management or organizational transformation - Familiarity with our products, customers, and internal operations - Experience with Claude Code, Claude Co-Work and/or Codex - Experience with platforms such as Microsoft Copilot, Power Automate, OpenAI APIs, or similar AI tooling Benefits - 3 weeks’ vacation and 5 personal days - Comprehensive Medical, Dental, and Vision benefits starting from your first day of employment - Employee stock ownership and RRSP/401k matching programs - Lifestyle rewards - Remote work and more!

Role Description Exante360 is expanding its internal software development capabilities to build AI-enabled tools, workflow automations, integrations, dashboards, data solutions, and enterprise applications that support the company's operations, project delivery, technology services, and internal business functions. We are looking for a highly capable software developer who excels at AI-assisted development, QA automation, software testing, enterprise application development, and internal system deployment. This person will help design, build, and maintain software solutions that improve efficiency, automate workflows, enhance data visibility, and support decision-making across Exante360's business units. The right candidate should be able to take internal software solutions from early concept through production deployment and ongoing support. They should understand how to leverage AI coding tools to accelerate development while maintaining strong standards for security, reliability, documentation, testing, and maintainability. This is a foundational role. The person hired will help establish development standards, quality assurance processes, deployment practices, documentation standards, and governance for Exante360's internal software environment. What You’ll Be Doing - Software Engineering Responsibilities - Design, develop, test, deploy, and maintain internal web applications, APIs, dashboards, workflow tools, integrations, and enterprise software solutions. - Translate business challenges from consulting, design, BIM/VDC, ICT, project delivery, operations, HR, finance, and corporate support teams into software requirements and working solutions. - Create secure, maintainable, and well-documented code that can be supported by a growing development team. - Establish and improve engineering workflows, including Git practices, pull requests, code reviews, CI/CD pipelines, testing environments, deployment procedures, and release documentation. - Evaluate software quality across usability, performance, security, reliability, data integrity, and operational effectiveness. - Contribute to software architecture decisions, technology stack selection, documentation standards, and development best practices. - AI-Assisted Development Responsibilities - Use AI coding assistants and agentic development tools to accelerate development, debugging, testing, refactoring, documentation, and prototyping. - Write effective prompts and technical specifications to improve development productivity and software quality. - Review AI-generated code for correctness, maintainability, performance, security, and reliability. - Use AI to generate test cases, exploratory testing plans, documentation, and technical knowledge resources. - Build or integrate AI-powered capabilities where appropriate, including document processing, structured data extraction, intelligent search, summarization, workflow automation, and internal knowledge management. - Help define standards for responsible AI usage, including protection of company data, confidential information, intellectual property, and regulated data. - QA Automation and Software Testing Responsibilities - Build and maintain automated testing frameworks including unit, integration, regression, end-to-end, and user acceptance testing processes. - Identify, reproduce, document, prioritize, and resolve software defects through structured testing and troubleshooting. - Create detailed bug reports including reproduction steps, expected results, actual results, business impact, severity, and recommended resolutions. - Develop release-readiness standards to ensure software is adequately tested before deployment. - Use AI-assisted testing tools to improve test coverage while independently validating all results and recommendations. - Internal Business Systems & Workflow Automation Responsibilities - Partner with stakeholders across the organization to identify opportunities for automation, efficiency improvements, and process optimization. - Build software solutions that streamline operational workflows, reduce manual effort, improve data quality, and increase visibility into business processes. - Develop integrations between business systems, databases, cloud platforms, collaboration tools, and operational applications. - Create dashboards, reporting tools, analytics platforms, and workflow management solutions that support organizational decision-making. - Assist in consolidating data from multiple systems into centralized and accessible solutions. - Continuously evaluate internal processes and recommend technology improvements that enhance organizational effectiveness. - Enterprise Deployment Responsibilities - Design and support deployment models appropriate for internal enterprise applications. - Build software with enterprise-grade capabilities including authentication, single sign-on (SSO), role-based permissions, audit logging, monitoring, data protection, user management, and administrative controls. - Support enterprise requirements related to security, data retention, backups, disaster recovery, compliance, and business continuity. - Create repeatable deployment procedures, implementation guides, configuration standards, onboarding documentation, release notes, and support processes. - Collaborate with IT, security, project teams, and business stakeholders to ensure successful implementation and adoption of internally developed solutions. - Assist in establishing software support processes, bug escalation procedures, release management standards, and application governance practices. Qualifications - Strong understanding of enterprise software requirements, including security, permissions, uptime, documentation, maintainability, and supportability. - Demonstrated use of AI coding tools as part of a professional development workflow. - Ability to collaborate effectively with technical and non-technical stakeholders. - Strong analytical and problem-solving skills with an emphasis on operational efficiency and process improvement. - Strong written communication skills, particularly for documenting requirements, architecture decisions, testing plans, bugs, and technical procedures. Requirements - 5+ years of professional software development experience, or equivalent demonstrated ability. - Bachelor’s degree in engineering, computer science or equivalent. - Strong full-stack development experience with modern web technologies. - Hands-on experience with at least one major backend language or framework such as Python, Node.js, TypeScript, C#, Java, or similar. - Strong frontend experience with React, Next.js, Vue, Angular, or similar. - Experience designing and consuming APIs, working with relational databases, and integrating multiple systems. - Strong QA automation experience with tools such as Playwright, Cypress, Selenium, Jest, PyTest, Postman/Newman, or similar. - Experience designing, deploying, and supporting business-critical software applications in production environments. - Experience taking software from concept or prototype through production deployment. - Experience with construction technology, BIM, VDC, Revit, Autodesk Construction Cloud, BIM 360, model coordination, or project delivery workflows. Benefits - Remote work environment built on intentional connection. - Professional growth through prioritizing your continued education goals. - Robust benefit package to support wellness and work life balance. - 401(k). - 401(k) matching. - Dental insurance. - Flexible schedule. - Health insurance. - Life insurance. - Paid time off. - Professional development assistance. - Referral program. - Vision insurance.