Full-Stack AI Engineer
Posted 10 days ago · 35 applicants
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The role in plain words
- 6+ years of full-stack engineering experience
- Strong architectural vision and understanding of the complete software development lifecycle
- TypeScript
- Node.js
- Hands-on experience with GenAI/LLM frameworks such as LangGraph, LangChain, OpenAI SDK, Anthropic SDK
- Working with GenAI/LLM systems in your current role
- Solid understanding of Docker and containerized development workflows
- Experience with evaluation methods to measure and improve AI agent accuracy
- Python experience
- Experience working in AWS, Azure, or similar cloud platforms
Extracted from the job description · kept up to date automatically
Who this suits
Full job description
Original listing · kept for referenceAI Engineer
About Us
We are GTH, the R&D center of the SkillOnNet group, a global leader in the iGaming industry. We are reinventing the iGaming landscape by delivering the most trustworthy and entertaining experiences in the market.
About This Role
We're looking for a passionate AI Engineer to join our internal AI enablement team. Our mission is to develop agentic systems and solutions that improve efficiency and unlock new business opportunities across the organization.
This role requires strong full-stack skills combined with experience integrating GenAI/LLM solutions.
What We're Looking For
• 6+ years of full-stack engineering experience (comfortable with both frontend and backend).
• Strong architectural vision and understanding of the complete software development lifecycle: able to design systems from concept to production.
• Proficiency with TypeScript and Node.js - MUST HAVE.
• Hands-on experience with GenAI/LLM frameworks such as LangGraph, LangChain, OpenAI SDK, Anthropic SDK, etc.
• Previous experience with AI agents, AI assistants, RAG, or other GenAI/LLM integrations.
• Daily use of AI code generation tools such as Cursor or Claude Code.
• Strong "can do" mindset - eager to learn and embrace challenges.
Bonus Points
• Working with GenAI/LLM systems in your current role.
• Solid understanding of Docker and containerized development workflows.
• Experience with evaluation methods to measure and improve AI agent accuracy.
• Python experience - nice to have.
• Experience working in AWS, Azure, or similar cloud platforms.
Passionate about AI? We'd love to hear from you!
Questions about this role
- This listing did not state a salary. We only show pay when the employer publishes it.
- 6+ years of full-stack engineering experience, Strong architectural vision and understanding of the complete software development lifecycle, TypeScript, Node.js, Hands-on experience with GenAI/LLM frameworks such as LangGraph, LangChain, OpenAI SDK, Anthropic SDK