Contribute to the design and evolution of knowledge‑based and data‑driven platforms.
Develop and integrate data pipelines and knowledge-driven components (e.g., structured data, semantic layers, or knowledge graphs) into applications.
Collaborate closely with analytics, data science, knowledge engineering, and digital product teams.
Work directly with internal teams and clients to translate requirements into scalable, production-ready solutions.
Implement secure, maintainable, and testable code aligned with industry best practices.
Support CI/CD, Git workflows, and DevOps automation.
The Skills That Set You Apart
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related discipline.
5+ years of professional software development experience, including 2+ years leading the design, deployment, and scaling of LLM-based or agentic AI systems in production environments.
Demonstrated experience designing end-to-end AI architectures, including data ingestion, retrieval, reasoning layers, and user-facing applications.
Strong experience with LLM workflows, including prompt engineering, evaluation strategies, agent orchestration, and tool integration.
Hands-on experience with embeddings, vector search, and RAG pipelines, including performance optimization and retrieval quality improvements.
Proven ability to design and build scalable backend systems and APIs (Python – FastAPI preferred, or Node.js), including microservices architectures.
Experience integrating structured and unstructured data into scalable AI applications.
Experience applying NLP techniques (e.g., entity extraction, entity resolution) in real-world applications.
Strong experience with cloud-native development (Azure preferred), including deployment, monitoring, and cost/performance optimization.
Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments (dev, UAT, production).
Nice to have: Experience with knowledge graphs and graph query languages (e.g., SPARQL, Cypher), microservices, Docker/Kubernetes, ETL pipelines, or engineering‑heavy data environments.
Why Choose WSP?
- We exist to shape communities to advance humanity. The brightest engineers, advisors and scientists from across the globe call WSP home.
- Proudly Canadian – we are a Top 100 Employer in Canada for 2026.
- A global community of brilliant minds – your next idea, mentor, or opportunity is always within reach.
- Limitless opportunities start here. Whether it’s across the country or around the globe, we help you tailor your role to match your ambition — because your growth drives ours.
- Flexible work, real balance – we recognize the importance of balance in our lives and encourage you to prioritize the balance in yours.
- #WeAreWSP
Compensation
AB, BC, NT, NU, SK & YT: $104,100 – $138,000
MB & ON: $95,5000 – $130,800
NB, NL, NS, PEI & QC: $94,100 – $124,900
Disclosure
The final salary awarded for this role may vary from the above range based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs. The wage range provided in this job posting may be subject to change for business purposes.
Make Your Mark with WSP
If you’re ready to shape the future of AI‑enabled platforms and build digital tools that make a real impact, we’d love to hear from you. Apply today and help redefine what’s possible.
