Job description

Position Overview: The AI Full Stack Developer will be responsible for building and maintaining AI-driven applications, working across the entire technology stack. You will be involved in everything from developing front-end user interfaces to designing and deploying back-end AI systems and services. This role requires strong programming skills, an understanding of AI/ML models, and the ability to build end-to-end solutions that are highly responsive, scalable, and efficient. Key Responsibilities: AI Application Development: • Design and implement AI-driven applications, integrating machine learning models and AI algorithms into full-stack web applications. • Develop user-facing features (front-end) using modern web technologies (e.g., React, Vue.js, Angular). • Implement back-end services (using Node.js, Python, Java, etc.) that integrate with machine learning models, APIs, and databases. • Build and deploy AI/ML models, and ensure their integration into production environments with optimal performance. Machine Learning Model Integration: • Collaborate with data scientists and AI researchers to integrate pre-trained AI models into production-ready applications. • Ensure the seamless deployment and scaling of AI models in cloud environments (AWS, GCP, Azure). • Monitor and improve AI model performance, ensuring accurate and reliable outputs. API & Database Management: • Develop and maintain RESTful APIs to facilitate communication between the AI models, front-end interfaces, and databases. • Manage and design relational and non-relational databases (e.g., SQL, MongoDB) to store, query, and manage data effectively. • Implement security measures to protect AI models and sensitive data. End-to-End Development & Deployment: • Implement DevOps practices for continuous integration/continuous deployment (CI/CD) pipelines to automate testing and deployment of AI-powered applications. • Ensure applications are scalable, secure, and optimized for performance across all layers of the tech stack. • Conduct regular performance tuning and debugging to improve application reliability and efficiency. Collaboration & Communication: • Work closely with other developers, data scientists, AI researchers, and product managers to define and understand application requirements. • Participate in agile development cycles, including sprint planning, daily stand-ups, and retrospectives. • Provide technical leadership, guidance, and mentorship to junior developers as needed. Testing & Quality Assurance: • Develop unit, integration, and end-to-end tests for both front-end and back-end code, ensuring the overall quality of the application. • Write automated tests to validate AI models' outputs, ensuring accuracy and reducing the risk of errors in production environments. Qualifications: Education & Experience: • Bachelor’s in related field or equivalent. • 10 Years IT experience • Proven experience working with AI/ML technologies and frameworks (e.g., TensorFlow, PyTorch, Keras, Scikit-learn). • Strong experience in both front-end (React, Angular, Vue.js) and back-end (Node.js, Python, Java, etc.) development. • Experience with cloud platforms (AWS, Google Cloud, Azure) for deploying AI applications. Skills & Competencies: • Strong proficiency in JavaScript, HTML, CSS, and modern front-end frameworks (React, Vue.js, Angular). • Experience with server-side languages such as Python, Node.js, or Java for back-end development. • Solid understanding of AI and ML principles, algorithms, and model integration into production environments. • Familiarity with databases (SQL, NoSQL) and API development (RESTful APIs). • Knowledge of Docker, Kubernetes, and CI/CD pipelines for deploying scalable applications. • Strong understanding of software development best practices, including version control (Git), code review, and testing. Soft Skills: • Excellent problem-solving skills, with the ability to troubleshoot and optimize AI systems. • Strong communication and collaboration skills, with the ability to work effectively in cross-functional teams. • Self-motivated, detail-oriented, and capable of managing multiple priorities in a fast-paced environment. • A passion for AI/ML technologies and staying up-to-date with the latest trends and innovations. Benefits Overview: • Health Insurance: Medical, dental, and vision plans. • Retirement Plans: 401(k) with company match. • Paid Time Off: PTO and holidays. • Professional Development: Tuition Assistance for courses and certifications. • Fitness & Wellness Stipend • Electronic Stipend Applicants with a physical or mental disability, who require a reasonable accommodation for any part of the application or hiring process, may e-mail their request to hr@axiologicsolutions.com or call 571-295-4990. Determinations on request for reasonable accommodation will be made on a case-by-case basis. Equal Opportunity Employer–minorities/females/veterans/individuals with disabilities/sexual orientation/gender identity.

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