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.
Requirements
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 OpenSearch
- 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 regulated or compliance-driven environments
- Contributions to open-source projects or applied AI research
- Experience with C# and .NET-based backend systems
- Familiarity with Docker and Kubernetes
Benefits
What Success Looks Like
- 30 days: You understand our tools, product, and people
- Within 90 days: You work independently on meaningful tasks
- Within 6 months: You contribute ideas, improvements, and measurable impact
Why Join Prophix?
Prophix builds technology that helps organizations plan and make better decisions with confidence. You will collaborate with colleagues across regions, contribute to a platform used globally, and grow your skills through hands-on work and AI-enabled tools. We support flexibility depending on team needs and location, and our culture is grounded in our values: Pursue Excellence, Build with Purpose, Create Wins for All, and Drive Continuous Innovation.
What’s Included for You?
Benefits may vary depending on location and employment contract. Full details will be provided in your written offer in accordance with local legislation.
- Comprehensive health and medical coverage
- Annual wellness allowance
- Mobile phone subscription
- Office parking or public transport card
- Meal vouchers
- Education assistance for career-related training
- Paid time off aligned with local norms
- Social events and team activities
- Opportunities to get involved in Environmental, Social, and Governance (ESG) initiatives
- Quarterly Town Halls and Kickoffs that bring teams together to celebrate wins, share updates, and look ahead at what’s next
Apply Now!
If this feels like the right environment for you, we’d love to meet you and help you build your career as a Phixer!
Accessibility & AI Transparency
Prophix promotes an accessible hiring process. If you need accommodation at any stage, we’ll work with you. Some interviews may be recorded with your prior informed consent so our hiring team can review and assess responses fairly and consistently. As part of our commitment to Responsible AI, we use a small number of AI-supported tools to help with tasks like resume review, shortlisting, or creating interview summaries. AI is never used as the sole basis for hiring decisions, and your personal data is never used to train AI models. If you'd prefer not to take part in any AI-assisted step, just let us know and we’ll be happy to accommodate.