AI FullStack Engineer

Required Skills

Python
Angular
Node.js
GoLang

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.

Please note that by applying & completing our interview process, you will be added to our talent pool. This means you’ll be considered for this and all other possible roles that may match your skills. These potential opportunities will be sent your way as a micro1 certified candidate.

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