Middle AI Engineer

Summary

Join us as a Middle AI Engineer to explore the possibilities of AI, transform ideas into prototypes, and help shape the real-world applications of modern AI. You will design and deploy AI-powered workflows using RAG, AI agents, and LLM integrations. Responsibilities include scoping and building AI use cases with stakeholders, writing full-stack implementations with AI integrations, iterating quickly to adapt to the evolving AI landscape, and staying current on trends in foundation models, multimodal AI, and AI governance. The ideal candidate will have 2–5 years of experience in AI Engineering and proficiency in Python, including Pandas and API development. A strong ability to work independently and deliver impactful results is essential. Additional beneficial skills include a great sense of humor.

Requirements

• 2–5 years of experience in AI Engineering
• Proficiency in Python , including Pandas and API development
• Hands-on experience with LLMs , machine learning models , and AI automation tools
• Proven ability to build full-stack applications with integrated AI workflows
• Familiarity with foundation models, multimodal AI, and AI governance trends
• Self-motivated with a strong ability to work independently
• Outcome-driven mindset with a focus on delivering impact

Responsibilities

• Design and deploy AI-powered workflows using RAG, AI agents, and LLM integrations
• Scope and build AI use cases with multiple stakeholders
• Write full-stack implementations with AI integrations
• Iterate quickly to keep up with the pace of changes in AI space
• Stay on top of trends in foundation models, multimodal AI, and AI governance

Preferred Qualifications

A great sense of humor 😊

Benefits

• Fully remote setup
• Competitive compensation in USD
• Adequate, friendly management
• A supportive team and exciting projects