Solution Engineer

Contextual is looking for a motivated, self-directed Solution Engineer to help design, build, and deploy AI-powered solutions on our low-code platform. You’ll play a key role in turning client business needs into automated workflows and integrated applications—bridging the gap between business logic and scalable technical implementation.

Key Responsibilities:

• Design, configure, and develop solutions, applications and automated workflows primarily using our designated low-code platform.
• Understand and translate user stories and business requirements into technical designs and functional solutions within the low-code platform across all necessary components.
• Develop custom functionality and integrations using JavaScript and/or Python scripting capabilities within the platform or via API connections.
• Configure platform components, data models, user interfaces, and business logic to meet specific project needs.
• Collaborate closely with internal stakeholders, and potentially external clients to ensure solutions align with requirements and deliver value.
• Clearly communicate technical solutions, progress, and potential challenges to both technical and non-technical audiences.
• Test, debug, and deploy solutions built on the low-code platform, ensuring quality and performance.
• Create and maintain documentation for developed solutions and platform configurations.
• Identify opportunities for process automation and improvement using the platform's capabilities.
• Stay updated on the features and best practices of the low-code platform and related technologies (JavaScript, Python), demonstrating a commitment to continuous learning.

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent practical experience.  
• 3+ years of experience in application development, business process automation, or a similar role.
• Proven, hands-on experience building and deploying solutions using one or more major low-code/no-code platforms (e.g.,Power Platforms, N8n, Outsystems, etc).
• Strong proficiency in JavaScript, specifically for scripting, customization, or extending application functionality within a platform context.
• Familiarity with Python for scripting, data manipulation, or integration purposes within a platform context.
• Demonstrated ability to analyze business requirements and user stories and translate them into technical solutions within a low-code framework.
• Proven ability to learn new technologies, platform features, and business domains quickly.
• Excellent communication skills (written and verbal) with the ability to effectively interact with internal teams, stakeholders, and potentially external clients.

Preferred Qualifications:

• Experience with integrating applications using APIs (REST, SOAP).
• Strong problem-solving skills and attention to detail.
• Experience integrating low-code platforms with other enterprise systems (e.g., CRM, ERP).
• Experience with database concepts and data modeling.
• Understanding of UI/UX principles for configuring user interfaces.
• Experience working in Agile/Scrum environments.

What We Offer:

• Competitive salary and benefits package.
• Unlimited vacation
• Flexible working hours and remote work options.
• Opportunities for professional growth and development.
• Collaborative and inclusive work environment.
• The chance to work on innovative projects with a talented team.

About Contextual:

Contextual partners with clients to deliver cutting-edge AI solutions that transform tasks, processes and operations with a focus on scale and ROI. By leveraging the Contextual.io platform, we help organizations streamline and automate workflows, drive organization and operational efficiencies, and unlock new revenue opportunities. We’re seeking an AI Solution Delivery Lead to guide client engagements from discovery through deployment and ongoing maintenance and improvement, ensuring best-in-class delivery of AI-driven solutions.