About this role
Build and maintain LLM-powered systems at the intersection of AI infrastructure and engineering for a wealth management platform. Design RAG pipelines, agentic workflows, and context management strategies that make AI features reliable and scalable for financial advisors.
Must have
5+ years professional software engineering experience
1-2 years working with LLMs in production context
Strong experience with Python or Node and API-integrated backend services
Hands-on experience with an orchestration or execution framework
Working knowledge of RAG architecture and vector databases
Familiarity with context management techniques
Experience building or consuming REST APIs and third-party integrations
Comfortable collaborating with cross-functional teams in fast-paced environment
Technologies
Responsibilities
Design and implement LLM-powered features via model APIs with focus on reliability
Architect and maintain RAG pipelines connecting models to knowledge bases and live data
Manage context window strategy optimizing for accuracy cost and latency
Design and implement agentic workflows for multi-step autonomous tasks
Build guardrail and output validation layers for compliant model behavior
Develop reusable agent primitives prompt templates and workflow components
Build evaluation frameworks to measure context effectiveness and output quality
Monitor deployed AI systems and implement mitigation strategies
Collaborate with Product Engineering and Data teams on production AI specifications
Upskill broader engineering team on context engineering and agentic best practices
Benefits
Recruitment process
Role sits at intersection of AI infrastructure and engineering
Hands-on production-focused role not research-oriented
One of first practitioners in this discipline at company
Help define what context engineering looks like organization-wide
Company ranked in Deloitte Technology Fast 50 Canada and Fast 500 North America 2025
Wealth management enterprise clients across North America
Compensation includes variable pay equity benefits and growth opportunities
Final offer reflects experience skillset and location
Mindset and drive valued over meeting every requirement
Similar offers
Sr. Security Engineer I - Enterprise Security
135,482 – 227,700 USD
/ year
Senior GPU Raytracing Engineer
184,000 – 356,500 USD
/ year
Staff Software Engineer
170,000 – 190,000 USD
/ year
Staff CIAM Security Engineer
181,000 – 241,000 CAD
/ year
Sr. Fullstack Developer, Originations
80,000 – 95,000 USD
/ year