AI Engineer Generative AI & Custom Agent Development - Tier 1 Banking Client Duration: 8 Months Location: Remote (1x/Month in Toronto office) Overview: Our retail banking client''s technology group is building a new delivery team made up of full-stack developers and AI engineers.

The AI Engineer will design and build custom agents and AI-enabled applications that help the team automate engineering, testing, and business workflows while delivering digital solutions for financial products, including mortgage-pricing capabilities.

This is a capability-first search.

Years of experience will not outweigh hands-on evidence. A candidate can be highly competitive if they can show that they have built an AI-enabled solution from scratch, integrated it into a usable application, and taken it through productionization or equivalent operational readiness.

Responsibilities: Design, build, and productionize custom AI agents that can reason over instructions, use tools or APIs, and automate meaningful workflows.

Develop AI-enabled applications and services from initial proof of concept through integration, testing, deployment readiness, and ongoing improvement.

Apply Git

Hub Copilot or comparable generative-AI technologies to accelerate development while maintaining engineering quality and appropriate human review.

Create agents that generate test cases or test scripts and support automated testing activities across the delivery lifecycle.

Integrate large language models with application services, enterprise APIs, approved data sources, and user-facing web experiences.

Define prompts, tools,



workflows, evaluation criteria, error handling, and fallback behavior for reliable agent execution.

Assess model and agent performance, identify failure modes, and improve accuracy, safety, latency, cost, and maintainability.

Collaborate with Java, Angular, and AWS engineers to embed AI capabilities into broader full-stack solutions.

Identify high-value automation opportunities and recommend practical ways to simplify work for engineering and business leadership.

Contribute to Agile planning, technical documentation, demos, code reviews, and team knowledge sharing.

Take ownership, work effectively through ambiguity, and continue learning as the team''s AI platform and use cases evolve.

Must Haves: Demonstrated hands-on experience building generative-AI applications or agentic solutions .

Direct experience creating custom agents or agent workflows, beyond basic use of a chatbot or code-completion tool.

Strong programming ability in Python, Java, or Type

Script , with the ability to build clean services, integrations, and application logic; Python is preferred for AI-focused development.





Practical experience integrating large language models through APIs and applying prompt engineering , tool or function calling, workflow orchestration, and structured outputs.

Experience taking an AI solution beyond a demonstration into a usable, supportable, or production-ready state.

Understanding of AI quality and operational concerns such as evaluation, hallucination or failure handling, guardrails, observability, privacy, security, latency, and cost.

Experience integrating AI solutions with API s, enterprise data sources, web applications, or automated workflows.

Ability to explain personal technical contributions clearly, demonstrate working solutions, and make sound engineering recommendations.

Strong initiative, collaboration, communication, curiosity, and willingness to learn in a newly forming team.

Nice to have: Experience with agent frameworks or orchestration libraries such as Lang

Graph, Lang

Chain, Semantic Kernel, Auto

Gen, CrewAI, or comparable technologies.

Experience with retrieval-augmented generation, embeddings, vector search, grounding, or enterprise knowledge integrations.

Experience building AI-enabled web applications or collaborating within an Angular and Java full-stack workplace. AWS experience, including serverless integrations using AWS Lambda.

Experience building testing agents, synthetic test generation, or AI-assisted quality-engineering workflows.

Financial-services experience, particularly within personal banking, lending, mortgages, or pricing; this is helpful but not mandatory.

📌 AI Engineer – Generative AI & Custom Agent Development - Tier 1 Banking Client (Toronto)
🏢 S.i. Systems
📍 Toronto