WSP

Plans and designs infrastructure projects

AI Developer - LLM & Agentic Systems

AI Application Engineering +1Confirmed live in the last 24 hours

Full-timeCanada$94.1k - $138k

About the Job

Requirements

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 using Python (FastAPI preferred) or Node.js, including microservices architectures.
Experience integrating structured and unstructured data into scalable AI applications.
Experience applying natural language processing techniques, such as entity extraction and entity resolution, in real-world applications.
Strong experience with cloud-native development, preferably Azure, including deployment, monitoring, and cost/performance optimization.
Experience with DevOps practices, including CI/CD pipelines, Git workflows, and multi-environment deployments across development, UAT, and production.

Responsibilities

Design, build, and maintain scalable full-stack applications that integrate advanced AI and data capabilities.
Develop backend APIs and cloud-native components that support scalable data and analytics workflows.
Integrate large language models, agentic workflows, and natural language processing techniques, such as entity recognition and entity resolution, into production-ready systems.
Contribute to the design and evolution of knowledge-based and data-driven platforms.
Develop and integrate data pipelines and knowledge-driven components, such as 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.

Desired Qualifications

Experience with knowledge graphs and graph query languages, such as SPARQL or Cypher, microservices, Docker/Kubernetes, ETL pipelines, or engineering-heavy data environments.

What if you could redefine what's possible?

With us, you can. You want Purpose. Growth. Opportunity. People who get it.
We are the home of ambitious, passionate, and innovative world shapers.
With an unmatched breadth and depth of engineering, advisory and science‑based expertise, our global minds unite to power local solutions.
We are pathfinders and impact makers.
We are Visioneers.
We are WSP.

The Opportunity

Build the future with us.
As an AI Developer (LLM & Agentic Systems), you will design and develop AI-enabled applications and intelligent systems used in client-facing projects, supporting decision-making across mining, resources, infrastructure, and environmental domains. You will build next-generation AI applications that combine Large Language Models (LLMs), structured data, and domain knowledge to enable advanced reasoning and support complex engineering and operational decisions. This role can be based anywhere in Canada and plays a key part in advancing our AI‑enabled platforms, internal tooling, and next‑generation data solutions.

#GlobalMining #ERI_Opportunities #carrières_ERI

Your Impact

Design, build, and maintain scalable full‑stack applications that integrate advanced AI and data capabilities.
Develop backend APIs and cloud‑native components that support scalable data and analytics workflows.
Integrate LLMs, agentic workflows, and NLP techniques (e.g., entity recognition and entity resolution) into production-ready systems.
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.

WSP