Remote AI Engineer

Huzzle; Deutschland; Remote; EUR 70.000 - 90.000; Vollzeit

Benefits dieser Stelle

Competitive salary based on experience

Fully remote role

Strong growth opportunity into senior roles

Zusammenfassung

Dormont Manufacturing Co is seeking an AI Engineer responsible for developing and optimizing AI systems, integrating machine learning models, and building scalable applications. This role requires strong experience in AI Engineering and familiarity with frameworks like TensorFlow and PyTorch.

The position is fully remote, allowing for a flexible work environment and offers competitive salary based on experience. Candidates will collaborate with a high-performance team on cutting-edge AI automation projects.

Qualifikationen

• 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering.
• Strong experience with AI/ML frameworks such as TensorFlow, PyTorch.
• Experience deploying AI applications using cloud platforms like AWS or Azure.

Aufgaben

• Design and deploy AI and machine learning solutions for real-world applications.
• Integrate AI systems with databases, APIs, and third-party platforms.
• Collaborate with product teams to translate requirements into AI solutions.

Kenntnisse

AI Engineering

Machine Learning

Python

TensorFlow

PyTorch

Docker

APIs

Problem-solving

Communication

Tools

Git

AWS

GCP

Azure

Jobbeschreibung

About Huzzle

At Huzzle, we connect exceptional talents with top opportunities at leading companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries such as SaaS, MarTech, FinTech, and AI.

Unlike an outsourcing agency, we place you directly with a client where you’re hired in-house as a valued member of their team.

Role Type: Full-time

Engagement: Independent Contractor

Job Summary

As an AI Engineer, you will be responsible for developing and optimizing AI systems, integrating machine learning models into production environments, and building scalable AI-driven applications. You will contribute to everything from model experimentation to deployment and performance optimization.

Key Responsibilities

• Design, build, and deploy AI and machine learning solutions for real-world business applications.
• Develop and maintain applications using Large Language Models (LLMs) such as GPT-based systems.
• Build AI-powered automations, copilots, chatbots, and workflow systems.
• Fine-tune, evaluate, and optimize machine learning models for performance and scalability.
• Integrate AI systems with APIs, databases, CRMs, and third-party platforms.
• Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.
• Implement prompt engineering strategies and retrieval-augmented generation (RAG) systems.
• Monitor model performance, reliability, and cost efficiency in production environments.
• Maintain documentation, testing procedures, and deployment workflows.
• Stay updated on the latest AI trends, frameworks, and emerging technologies.

Requirements

• 3+ years of experience in AI Engineering, Machine Learning, or Software Engineering.
• Strong experience with Python and AI/ML frameworks such as TensorFlow, PyTorch, LangChain, or Hugging Face.
• Experience working with LLMs, OpenAI APIs, Anthropic, Gemini, or similar AI platforms.
• Familiarity with vector databases, embeddings, and RAG architectures.
• Experience deploying AI applications using cloud platforms such as AWS, GCP, or Azure.
• Strong understanding of APIs, backend systems, and scalable application architecture.
• Experience with Docker, Git, CI/CD pipelines, and modern development practices.
• Excellent problem-solving and analytical thinking skills.
• Strong communication skills with the ability to work in remote, cross-functional teams.
• Bonus: Experience building AI agents, automation systems, or voice AI applications.

Benefits

Competitive salary based on experience and location.

Fully remote role with flexible work environment.

Work on cutting-edge AI automation projects with real business impact.

Strong growth opportunity into senior AI / systems roles.

Exposure to LLMs, prompt engineering, and scalable AI system design.

Direct collaboration with a fast-moving, high-performance team.