Senior AI Engineer

Job Description:

We are looking for a Senior AI Engineer to join our team and lead the development of advanced AI-driven products. This role requires hands-on experience in training computer vision models and large language models (LLMs), not just API usage. Beyond model building, you will work with AI agentic workflow tools such as n8n and ElevenLabs, apply context engineering techniques, and architect AI applications that combine models, workflows, and web components. If you enjoy taking AI from research to production and have a strong foundation in Linux environments, this is the right role for you.

Responsibilities:

• Design, train, and fine-tune computer vision and LLM models for production use
• Integrate and extend AI agent workflows with tools like n8n and ElevenLabs
• Apply context engineering to improve reliability and reasoning in LLM-powered systems
• Architect and develop AI applications with both model and web development components
• Build reproducible training pipelines, conduct experiments, and benchmark results
• Collaborate with engineering and product teams to deliver full-stack AI solutions
• Optimize AI models for performance and deployment in Linux environments
• Explore opportunities for embedded and edge AI applications
• Stay current with advancements in AI and translate research into real-world use cases

Qualifications:

• Proven track record in training and deploying computer vision models
• Hands-on experience in training large language models (LLMs) beyond APIs
• Practical experience with AI agentic workflow tools (e.g., n8n, ElevenLabs)
• Understanding of context engineering concepts for LLM-based systems
• Experience architecting and deploying AI-driven applications, including web components
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow)
• Solid experience with Linux-based environments for development and deployment

Good to Have:

• Knowledge of MLOps and CI/CD practices for AI pipelines
• Familiarity with containerization (Docker, Kubernetes)
• Experience with distributed training of large models
• Exposure to cloud platforms (AWS, GCP, or Azure)
• Background in embedded systems or deploying AI on constrained devices

How To Apply:

If you are ready to take AI beyond APIs, include “I build AI from scratch” in your application.  Additionally, send us a link to a short video explaining why you're the perfect fit for this role, along with your desired salary and any expectations regarding project-based incentives or bonuses.

• Great team of smart people, in a friendly and open culture
• No waste of time in enterprise processes, real responsibilities and autonomy
• Expand your knowledge of various business industries
• Real responsibilities and challenges in a fast evolving company