Clario
AI Engineer
Vaga remota de AI Engineering com fit claro de localização do candidato.
Publicada2 de jul. de 2026
Países elegíveis1 país aceito
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Canadá
Resumo da vaga
AI Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
What You'll Be Doing
- Design, develop, and maintain AI-powered applications with a strong focus on Agentic AI, AI Agents, and LLM-enabled workflows
- Build software services, APIs, and orchestration layers that connect AI models and tools into scalable production solutions
- Contribute to the design, training, fine-tuning, evaluation, and deployment of AI models, including large language models and supporting ML components
- Develop and optimize data pipelines for model training, retrieval, evaluation, and monitoring
- Implement testing strategies, benchmarks, and quality controls to ensure AI systems are reliable, accurate, secure, and performant
- Collaborate with AI engineers, software developers, scientists, and product managers to translate business requirements into technical solutions
- Participate in the full software development lifecycle: design, implementation, testing, deployment, and monitoring in cloud environments (AWS preferred)
- Apply engineering best practices for code quality, documentation, maintainability, and operational excellence
- Support experimentation with new AI techniques, frameworks, and tooling, and help mature promising ideas into production capabilities
- Stay up to date with advancements in generative AI, agentic systems, multi-modal AI, and cloud engineering
What We're Looking For
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field (Master's a plus)
- 3+ years of experience in software engineering, AI engineering, machine learning, or a related technical field
- Strong proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow
- Experience building AI-enabled software applications and integrating machine learning or LLM capabilities into backend systems
- Hands-on experience or strong interest in Agentic AI, AI Agents, tool-use workflows, or multi-step orchestration patterns
- Familiarity with model training, fine-tuning, evaluation, prompt and workflow design, or model-serving concepts
- Understanding of cloud-based architectures
- Strong problem-solving, communication, and collaboration skills
- Commitment to code quality, security, scalability, and performance
- Eagerness to learn, adapt, and stay current with emerging AI technologies and engineering practices
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