Senior Full Stack AI Engineer [J213] at SKM Group
Remote, , Ireland -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

54000.0

Posted On

28 Aug, 25

Experience

3 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Testing, Design Patterns, Typescript, Python

Industry

Computer Software/Engineering

Description

We are seeking a Senior Full Stack AI Engineer to design, build, and scale intelligent applications from concept to production. The ideal candidate combines strong full stack development expertise with hands-on experience building AI-powered features and deploying them into real-world environments.

REQUIRED QUALIFICATIONS

  • 5+ years of professional full stack development experience.
  • Strong proficiency in Python (must-have) and at least one modern full stack framework (React, NodeJS, TypeScript, SQL/NoSQL).
  • Solid software engineering fundamentals: OOP, asynchronous programming, lazy loading, design patterns.
  • Experience delivering production-level applications with CI/CD, testing, and security practices.
  • Track record of scaling applications from concept to production.

ABOUT US

We are a software house with 18 years of experience and a global portfolio of projects. We help businesses modernize, scale, and innovate through custom software solutions — always with a focus on flexibility and quality. Our team embraces unconventional ideas and new technologies, delivering solutions that drive real impact. If you value professionalism, creativity, and a strong engineering culture, you’ll feel at home here.
Job Type: Full-time
Pay: €54,000.00-€120,000.00 per year

Benefits:

  • Work from home

Experience:

  • Full Stack: 4 years (required)
  • Python: 3 years (required)

Work Location: Remot

Responsibilities
  • Design and develop end-to-end applications using full stack technologies (React, NodeJS, TypeScript, SQL/NoSQL, Python).
  • Build and deploy AI-powered features (RAG pipelines, vector storage integrations, LLM fine-tuning, multi-agent systems).
  • Apply software engineering best practices: OOP principles, asynchronous programming, lazy loading, and scalable architectures.
  • Work with ML services to enable intelligent application features.
  • Translate AI prototypes and ideas into production-ready applications, ensuring proper QA, deployment, and security.
  • Collaborate with cross-functional teams to scale applications and support continuous delivery of AI-driven features.
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