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Associate StaffingSource d’offres vérifiée

AI Software Engineer

Offre en anglais

Design, develop, and deploy production-ready AI products and Decision Intelligence solutions. Collaborate with cross-functional teams through continuous product discovery and delivery cycles to drive clinical and operational outcomes.

  • Sur place
  • Richmond, BC
  • Publié 18 août 2026
  • Postuler avant le 26 févr. 2027
  • 1 poste

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Résumé du poste

Senior AI Software EngineerOverview Join an innovative product team building AI-enabled Decision Intelligence solutions that drive meaningful outcomes across patient care, team member and patient experience, clinical and back-office operations, and financial performance. In this senior contract role, you’ll design, develop, and deploy production-ready AI products—working closely with engineers, data scientists, architects, product managers, and designers through continuous Product Discovery and Product Delivery cycles. If you bring a practical “get to yes” mindset and thrive on shipping impactful AI capabilities at scale, this is a high-visibility opportunity to make your work matter. Required Skills (Top 5) AI/ML deployment experience, including agent deployment, LLM integration, and RAG patterns Azure AI/ML deployment knowledge and cloud-based production implementation Strong cloud architecture fundamentals, including containerization and DevSecOps practices API integration, observability, and production readiness for AI applications Proficiency in at least one programming language such as Python or Java Nice to Have Skills (Top 5) Experience with AI application frameworks (e.g., LangChain, LlamaIndex) Familiarity with Responsible AI principles (fairness, bias mitigation, explainability) Healthcare industry experience and/or knowledge of HIPAA privacy and security rules Proficiency with semi-structured file formats and NoSQL databases Experience designing and implementing scalable MLOps pipelines for structured/unstructured data Preferred Education and Experience 5+ years of relevant software engineering experience with demonstrated delivery of AI/ML solutions in production environments Preferred: Degree in Computer Science, Engineering, or a related technical discipline (or equivalent practical experience) Other Requirements Ability to collaborate effectively on a cross-functional product team and contribute across discovery-to-delivery cycles Positive, solution-oriented approach with a focus on balancing viability, value, feasibility, and usability If you’re ready to build and deploy AI products that deliver real-world outcomes, apply today to be considered. Associate Staffing is an Equal Opportunity Employer and does not discriminate against any employee or applicant for employment based on race, color, religion, sex, national origin, age, disability, veteran status, sexual orientation, gender identity, or any other protected status under applicable law. We are committed to creating a diverse and inclusive work environment and welcome applicants from all backgrounds to apply for open positions with our company.

Ce que vous ferez

Design, develop, and deploy production-ready AI products and Decision Intelligence solutions. Collaborate with cross-functional teams through continuous product discovery and delivery cycles to drive clinical and operational outcomes.

Exigences

Requires over 5 years of software engineering experience with a proven track record of delivering AI/ML solutions in production. Proficiency in Python or Java and experience with Azure cloud architecture and DevSecOps practices are essential.

Compétences indiquées

  • JavaSouhaitée
  • PythonSouhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

  • AI/ML Deployment
  • LLM Integration
  • RAG Patterns
  • Azure AI/ML
  • Cloud Architecture
  • Containerization
  • DevSecOps
  • API Integration
  • Python
  • Java
  • LangChain
  • LlamaIndex
  • Responsible AI
  • HIPAA
  • NoSQL
  • MLOps

Domaines d’emploi

  • Software
  • Technology
  • Engineering
  • Healthcare
  • Data & Analytics

Renseignements supplémentaires

Formation minimale
Baccalauréat
Expérience minimale
5+ ans
Postuler avant le
26 févr. 2027
Langue de l’offre
anglais
Heures de travail
40 heures par semaine
Niveau d’expérience
Mid-Senior level
Mode de candidature
La candidature directe est offerte