Design, develop, and deploy intelligent applications leveraging advanced LLMs and generative AI technologies
Deliver end‑to‑end solutions, implement RAG architectures, integrate diverse data sources, and build high‑quality prototypes for next‑generation Advisor Assistance tools
Gather and consolidate data from diverse sources such as REST APIs, databases, enterprise systems, and document repositories
Implement system prompts, agent architectures, multimodal workflows and AI orchestrated tools
Prototype conversational interfaces, advisor systems, and AI assistants
Develop intelligent tooling agents and automation to augment engineering workflows
Embed Gen AI features into existing processes to enhance productivity and decision making
Design and deliver production ready prototypes and proofs of concept demonstrating feasibility and business value
Package and deploy applications using containers, APIs, and CICD pipelines
Apply monitoring observability testing and secure coding practices
Ensure compliance with Responsible AI, privacy, and data governance standards

Requirements

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade
Company paid holidays
Personal Days
Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonLLMsRAG architecturesREST APIsdatabasesagent architecturesmultimodal workflowsCICD pipelinessecure coding practicesknowledge integrations

Soft Skills

communicationcollaborationproblem-solvingcreativityadaptability