Remote AI Engineer

About the role

Join Huzzle’s client teams as a remote AI Engineer, developing and optimizing AI systems that power real‑world business applications. You will work on everything from model experimentation to production deployment, collaborating with cross‑functional product and engineering groups.

Key responsibilities

• Design, build, and deploy AI and machine learning solutions, including Large Language Model (LLM) applications such as chatbots, copilots, and workflow automations.
• Fine‑tune, evaluate, and optimize models for performance, scalability, and cost efficiency.
• Integrate AI systems with APIs, databases, CRMs, and third‑party platforms.
• Implement prompt engineering and retrieval‑augmented generation (RAG) architectures.
• Monitor model reliability in production and maintain documentation, testing procedures, and deployment workflows.

Required profile

• 3+ years of experience in AI engineering, machine learning, or software engineering.
• Strong problem‑solving, analytical thinking, and communication skills for remote, cross‑functional teamwork.
• Experience deploying AI applications on cloud platforms (AWS, GCP, or Azure).

Required skills

• Python programming.
• AI/ML frameworks: TensorFlow, PyTorch, LangChain, Hugging Face.
• Experience with LLMs and APIs (OpenAI, Anthropic, Gemini).
• Knowledge of vector databases, embeddings, and RAG architectures.
• Containerisation and CI/CD tools: Docker, Git, CI/CD pipelines.

What we offer

• Competitive salary based on experience and location.
• Fully remote work with flexible schedule.
• Opportunities to work on cutting‑edge AI automation projects with real business impact.
• Growth path toward senior AI or systems roles and exposure to advanced LLM technologies.