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AI Solutions Engineer
FortWood Capital LP
Vancouver, CAN
Full-time
Entry
Hybrid
CAD 125,000 to CAD 145,000.
Discovered 2 weeks ago
PythonLLM application developmentRetrieval-augmented generation (RAG)Document processingVector databases and searchRetrieval evaluation
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PythonLLM application developmentRetrieval-augmented generation (RAG)
Role Overview
Build AI systems used by Connor, Clark & Lunn Financial Group and affiliate teams in day-to-day work.
Turn signed-off specifications into production-ready AI assistants, agents, and workflow automations.
Own build quality, reliability, safety, traceability, and maintainability in a regulated financial services environment.
The team operates on a hybrid model with three days per week in the office.
Key Skills for This Role
PythonLLM application developmentRetrieval-augmented generation (RAG)Document processingVector databases and searchRetrieval evaluation
Full Job Posting
About the Role
Build AI systems used by Connor, Clark & Lunn Financial Group and affiliate teams in day-to-day work.
Turn signed-off specifications into production-ready AI assistants, agents, and workflow automations.
Own build quality, reliability, safety, traceability, and maintainability in a regulated financial services environment.
The team operates on a hybrid model with three days per week in the office.
What You Will Do
- Build AI assistants and agents end-to-end from signed-off specifications through retrieval, integrations, prompting, citation, and workflow integration.
- Design and maintain retrieval pipelines, chunking strategies, metadata schemas, indexing, access controls, and query optimization.
- Engineer, test, evaluate, and iterate prompts while documenting failure modes and edge cases.
- Own code quality, testing, artifact versioning, handoff, and technical documentation.
- Partner with Data Engineering on ingestion needs, retrieval readiness, assumptions, and data quality impacts.
- Deploy through MLOps pipelines with monitoring, alerting, rollback readiness, cost controls, and runbooks.
- Collaborate with affiliate teams, demonstrate increments, gather feedback, and incorporate changes within scope.
- Document limitations, risks, and mitigations before UAT and set expectations for business stakeholders.
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