
AI FullStack Engineer
Required Skills
Job Description
Job Title: AI FullStack Engineer
Job Type: Full-Time
Location: Remote (EST time zone availability required)
Job Summary:
Join our customer's team as an AI FullStack Engineer and play a pivotal role in creating next-generation, intelligent web applications. In this dynamic, fully remote position, you will leverage cutting-edge technologies to deliver scalable, efficient, and AI-powered solutions. We place a high value on clear written and verbal communication to ensure excellent collaboration across global teams.
Key Responsibilities:
• Design and implement responsive, user-centric web applications using Angular.
• Develop robust server-side APIs and back-end logic with Node.js, Python, and GoLang, focusing on scalability and security.
• Build and integrate AI and machine learning models to elevate application intelligence and user experience.
• Deploy and manage cloud-based applications on AWS, emphasizing reliability and cost efficiency.
• Establish and maintain CI/CD pipelines for seamless integration, testing, and deployment cycles.
• Automate and manage cloud infrastructure with Terraform, ensuring consistency and scalability.
• Collaborate closely with product managers, data scientists, and other engineers to drive projects aligned with business objectives.
Required Skills and Qualifications:
• Expertise in Angular, Node.js, Python, GoLang, AWS, Terraform, CI/CD, and AI technologies.
• Minimum of 7 years’ experience in software development, with a strong background in full stack and cloud environments.
• Strong troubleshooting and analytical skills for complex problem-solving.
• Demonstrated ability to build, deploy, and maintain scalable cloud-native applications.
• Proven experience integrating AI/ML models into production systems.
• Excellent written and verbal communication skills, fostering effective remote collaboration.
• Availability to work during EST business hours.
Preferred Qualifications:
• Experience with AI frameworks such as TensorFlow, PyTorch, and LLM tools (Langchain, Blockchain).
• Hands-on knowledge of microservices architecture and agile development methodologies.
• Track record of success in fast-paced, highly collaborative engineering teams.