Full Stack Developer (JavaScript, NodeJS, AI/ML Integration)

pureIntegration is seeking a Full Stack Developer to join an internal team, developing one of our growing service offerings. In this role you will assist in the development of both front and back-end systems working to integrate AI and machine learning technologies. The ideal candidate will have worked in a similar environment and possess strong UI and front-end skills while also having a solid background in back-end infrastructure and systems configuration. This position is fully remote within the U.S.The salary range for this role is $90,000 –$120,000. Candidates will be paid within this range based on their work experience and skills. Candidates are also eligible for our full list of benefits linked here.Responsibilities:Design, build, and scale sophisticated high-volume server-side and front-end applications and frameworks, including those integrating AI/ML models for computer vision tasks.Collaborate with cross-functional teams to identify opportunities where computer vision can enhance product functionality or user experience.Develop APIs or interfaces that allow seamless interaction between front-end applications and deployed computer vision models.Stay updated on advancements in computer vision technologies and apply state-of-the-art techniques to improve application performance.Develop and deploy AI-driven features such as image recognition, object detection, and video analysis by embedding machine learning models into web applications.Collaborate with machine learning engineers to preprocess data, train models, and deploy them into production environments.Write reusable, testable, and maintainable code for both traditional application features and AI/ML pipelines.Ensure code meets test coverage standards while validating the performance of AI/ML models using metrics like accuracy, precision, and recall.Conduct analysis to determine integration needs for AI/ML solutions and ensure seamless interaction between back-end services and machine learning APIs.Work with project/delivery leads to optimize deployment pipelines for AI/ML models, ensuring scalability and low-latency performance in production systems.Monitor and refine deployed models to improve accuracy and efficiency over time using telemetry data and dashboards.Incorporate security best practices into the development of AI/ML-enabled applications to safeguard sensitive data.Participate in Agile ceremonies such as sprint planning, daily stand-ups, grooming sessions, and retrospectives while addressing AI/ML-specific challenges.