Senior AI Engineer; Agentic AI

Position: Senior AI Engineer (Agentic AI)
See What You Can Do With Prophix  Prophix helps finance teams work with greater flexibility and confidence through Prophix One™, our Financial Performance Platform. We bring planning, reporting, and automation together so people can focus on higher‑value work instead of repetitive tasks. As we introduce more AI‑enabled capabilities, you will be part of a human‑centered innovation journey where intelligent tools support better outcomes while people lead the decisions that matter.

We're headquartered in the Greater Toronto Area, with teams and offices across North America, Europe, and Australia.

The Senior AI Engineer is a hands‑on individual contributor role within the AI team. This position focuses on collaborating closely with other AI engineers to design, build, and evolve agentic AI capabilities for the financial sector. You will contribute deep technical expertise to shared architecture and development efforts, working as part of a highly skilled team driving innovation in Prophix One Intelligence.

This role does not involve people leadership or ownership of delivery for the team. Instead, you will play a critical role in shaping solutions through collaboration, strong engineering practices, and technical excellence.

What You Will Do

Contribute to the design and implementation of agentic AI solutions that power Prophix One Intelligence

Build and enhance retrieval‑augmented generation (RAG) systems to support financial analysis and decision‑making

Develop and integrate AI tools that enable task automation across financial workflows

Implement AI systems that process natural language inputs while maintaining accuracy, reliability, and data integrity

Participate in defining and evolving shared AI architecture, patterns, and best practices

Implement and refine evaluation frameworks to measure and improve LLM performance

Develop scalable AI services using AWS‑native technologies

Collaborate closely with other AI engineers, product partners, architects, and LLM Ops to deliver cohesive solutions

Contribute to technical discussions, design reviews, and code reviews within the AI team

Stay current with advancements in AI and apply relevant techniques to real‑world financial use cases

What You Will Bring
If this role excites you but you don't meet every requirement, we still encourage you to apply. At Prophix, curiosity, adaptability, and diverse perspectives matter. Your experience may be exactly what we need.

Required Qualifications

A mix of experience, training, or education that helps you succeed in this role:

5+ years of professional software engineering experience, with at least 3 years focused on AI/ML systems

Strong Python development skills, including building production services using FastAPI

Solid experience with retrieval‑augmented generation (RAG), vector databases, and embedding‑based search

Hands‑on experience with LLM platforms such as OpenAI SDK and AWS Bedrock

Experience building agentic AI workflows and integrating tools with LLMs

Knowledge of Text-to‑SQL techniques and natural language processing concepts

Experience with AWS services such as Fargate, SQS, and Open Search

Familiarity with LLM evaluation techniques (e.g., LLM-as-Judge, automated evaluators)

Experience with LLM observability and monitoring tools (e.g., Langfuse, Datadog)

Strong understanding of system design principles for scalable AI applications

Ability to collaborate effectively within a cross‑functional engineering team

Comfort using AI tools responsibly to support tasks such as research, drafting, or data review

Ability to learn new tools and adapt as technology evolves

Curiosity and openness to exploring new approaches

Collaborative mindset when working with teams and technology

Must be legally entitled to work in the country where this role is located

Preferred Qualifications

Experience building AI solutions for financial or data‑intensive domains

Familiarity with implementing guardrails, safety, and reliability measures for LLM applications

Exposure to multi‑agent systems or orchestration patterns

Background in MLOps or LLMOps practices

Understanding of financial systems, data privacy, and security considerations

Experience working in…