AI Full Stack Developer at Axiologic Solutions
Washington, District of Columbia, USA -
Full Time


Start Date

Immediate

Expiry Date

29 Jun, 25

Salary

0.0

Posted On

29 Mar, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Node.Js, Algorithms, Css, Java, Git, Python, Testing, Vue.Js, Docker, Angular, Version Control, Databases, Soft Skills, Kubernetes, Software Development, Code Review, Keras, Html, Javascript, Azure, Google Cloud

Industry

Computer Software/Engineering

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.

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.
Responsibilities

Loading...