Full Stack AI Engineer

Company Description Effulgent Inc is a technology services company focused on helping organizations succeed in a digital-first world through practical, forward-looking solutions. The company offers strategic technology consulting, custom software development, scalable cloud services, and advanced data and analytics capabilities. Effulgent Inc also provides robust cybersecurity services to protect modern digital infrastructures against evolving threats. Team members collaborate with diverse clients and industries, contributing to solutions that emphasize clarity, reliability, and excellence. Joining Effulgent Inc means working on impactful projects that support a bold, innovation-driven future.
Role Description The Full Stack AI Engineer contract role is a remote position responsible for designing, developing, and maintaining end-to-end web applications that incorporate AI capabilities. Day-to-day tasks include building and integrating front-end interfaces, implementing back-end services and APIs, and working with data pipelines or AI models to deliver intelligent features. The role involves collaborating with product and design teams to translate requirements into scalable technical solutions, optimizing performance across the stack, and ensuring security and reliability in production environments. The engineer will also troubleshoot issues, participate in code reviews, and contribute to continuous improvement of development processes and tools.
Qualifications
Candidates should possess strong Full-Stack Development and Software Development skills, with experience building and deploying complete web applications.
Candidates should possess solid Back-End Web Development skills, including API design, server-side logic, database integration, and performance optimization.
Candidates should possess Front-End Development skills, including proficiency with modern JavaScript frameworks and Cascading Style Sheets (CSS) for responsive, accessible user interfaces.
Candidates should possess experience integrating AI or machine learning components into applications, such as using AI APIs, ML frameworks, or data-driven services.
Relevant experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization or CI/CD pipelines is beneficial.
A strong foundation in software engineering principles, version control (e.g., Git), testing practices, and secure coding standards is beneficial.
A bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience, is beneficial.
Effective communication skills, the ability to work independently in a remote environment, and experience collaborating in cross-functional teams are beneficial.

Skills
JavaScript, HTML/CSS, Git, AWS, Azure, GCP, CI/CD

Work arrangement
Yes