Experior Financial Group
AI Engineer
Vaga remota de AI Engineering com fit claro de localização do candidato.
Publicada4 de jul. de 2026
Países elegíveis9 países aceitos
Sinal de senioridadeSenior
Modelo de trabalhoRemoto
Locais aceitos para candidatos
Resumo da vaga
AI Engineer
Requisitos e responsabilidades
Conteúdo da vaga extraído em seções para revisão mais rápida.
Responsibilities
- Collaborate with the CTO, AI consultant, and development team to design and deploy robust, scalable AI/ML architectures
- Develop, train, and maintain AI models, data pipelines, and integrations with APIs, databases, and SaaS platforms
- Experiment with new LLMs, embeddings, vector databases, and orchestration frameworks (e.g., LangChain, Semantic Kernel, or similar)
- Lead hands-on development/ prototyping of LLM-based applications, intelligent agents, and automation workflows
- Define AI architecture standards, establish model governance, and contribute to the long-term AI strategy in collaboration with the CTO
- Partner with business and technical leaders to translate strategic AI goals into actionable engineering initiatives
- Design systems for high availability, scalability, and efficient deployment in cloud environments (Azure, AWS, or GCP)
- Create technical documentation, architecture diagrams, and playbooks for deployment and scaling of AI solutions
- Participate in code reviews, mentor junior developers, and foster a culture of innovation and excellence in AI engineering
- Stay at the forefront of emerging AI frameworks, APIs, and tools, bringing forward practical innovations to enhance our products and systems
Qualifications
- 5+ years of professional software development experience required
- 3+ years of building or designing AI/ML systems is required
- Proficiency in Python, C#, or similar programming languages
- Hands-on experience with LLMs, vector databases, embeddings, and prompt orchestration
- Familiarity with AI/ML frameworks (OpenAI, Hugging Face, LangChain, Semantic Kernel, etc.) and cloud ecosystems (Azure AI, AWS SageMaker, GCP Vertex AI).
- Experience developing and integrating data pipelines, APIs, and AI inference service
- Strong analytical thinking, communication, and collaboration skills
- Ability to balance hands-on technical work with high-level system design and strategic planning
- Curiosity and drive to stay ahead of emerging AI tools, frameworks, and trends
- Must reside and be authorized to work in Canada
Qualifications
- Competitive compensation and a comprehensive total rewards package, including an employee group savings program, and group benefits coverage (health, vision, dental, disability, and life insurance), as well as access to mental health supports and an Employee Assistance Program.
- Growing organization with long-term career opportunities.
- Remote opportunities available.
- Ongoing training and development to help you grow your skills.
- Opportunity to work alongside experienced industry professionals and leaders.
- Collaborative, supportive team environment where your contributions are recognized and valued.
- Culture built on integrity, respect, and continuous improvement.
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