Lead FullStack GenAI Developer
- Canada
- Télétravail
- Publié 19 sept. 2026
- 1 poste
Ouvre un site externe
- Type d’emploi
- Contrat
- Niveau d’expérience
- Expérimenté · 5+ ans
- Postuler avant le
- 16 oct. 2026
- Langue de l’offre
- anglais
- Heures de travail
- 40 heures par semaine
- Exigences de lieu
- Country, Vancouver, British Columbia, Canada
- Niveau d’expérience
- Mid-Senior level
- Mode de candidature
- La candidature directe est offerte
Résumé du poste
The role involves building and deploying production-grade GenAI, RAG, and agentic systems while leading technical initiatives. You will be responsible for integrating AI services with enterprise data systems and ensuring operational resilience and telemetry.
Détails du poste
Deep, recent experience personally building and deploying production GenAI, RAG or agentic systems. Advanced Python and strong software-design, API, asynchronous-processing, testing and debugging skills. Strong understanding of retrieval, context engineering, model behaviour, structured generation, agents, evaluation and observability. Candidates must be able to demonstrate recent personal code contributions to production GenAI systems. Experience limited to architecture oversight, technical management, notebooks or demonstrations is insufficient. Practical experience with Azure AI services and/or Databricks, with the ability to work productively across both. Experience integrating AI services with enterprise data and application systems. Strong SQL and production data-engineering capability, including data profiling, transformation, quality validation, schema evolution, lineage and reliable batch or event-driven pipelines. Experience implementing security, resilience, error handling and operational telemetry in production services. • Ability to lead technically while remaining a substantial individual contributor.
Ce que vous ferez
The role involves building and deploying production-grade GenAI, RAG, and agentic systems while leading technical initiatives. You will be responsible for integrating AI services with enterprise data systems and ensuring operational resilience and telemetry.
Exigences
Candidates must have deep, recent hands-on experience in production GenAI development and strong software engineering skills. Proficiency in Python, SQL, Azure AI, and Databricks is required, along with the ability to work as a substantial individual contributor.
Compétences indiquées
- SQL · Souhaitée
- Python · Souhaitée
Autres compétences pertinentes
Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.
- Python
- GenAI
- RAG
- Agentic systems
- API development
- Asynchronous processing
- Azure AI
- Databricks
- SQL
- Data engineering
- Data profiling
- Observability
- Structured generation
- Software design
- Testing
- Debugging
Domaines d’emploi
- Software
- Technology
- Data & Analytics
- Engineering
- Consulting
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