AI Lead Engineer (Prompt Engineering, RAG and LLM's)

Good understanding of AWS services.

Bedrock Integration: Replace the current claude.ai deep-link (cosmetic "Ask AI" button) with a real Amazon Bedrock (Claude) integration for both Canopy and Trellis

Context Injection: Build context-aware prompts that pull in real portfolio data, rather than the current no-context implementation

Prompt Engineering: Design and maintain AI prompt templates (per-app, built twice) and expand the prompt library during Phase 2 feature refinement

Model Selection & Inference-Cost Management: Implement configuration-driven model selection — routing routine work to smaller/cheaper models and complex analysis to frontier models — as the primary cost lever for Bedrock spend

Audit Logging: Enable and route prompt/response audit logging to centralized logging and satisfy the audit-trail requirement

Collaborate with product managers, data scientists, and software engineers to identify AI/ML opportunities and develop innovative solutions.

Implement and deploy AI/ML algorithms and models into production environments.

Optimize and fine-tune AI/ML models to improve accuracy and efficiency.

Conduct experiments, perform data analysis, and present findings to stakeholders.

Develop and maintain documentation for AI/ML algorithms, models, and solutions.

Stay up-to-date with the latest AI/ML research and technologies and apply them to improve our platform.

Mentor and provide technical guidance to junior AI/ML engineers or team members.