Full Stack Engineer (12 months) to develop AI-driven backend and full-stack solutions within the AI Markets platform Job Toronto area

Position: Full Stack Engineer (12 months) to develop AI-driven backend and full-stack solutions within the AI Markets platform -

Our financial services client is seeking a Full Stack Engineer (12 months) to develop AI-driven backend and full-stack solutions within the AI Markets platform

Join a dynamic technology team building NLP-powered financial market services that transform institutional client interactions. This role focuses on AI applications, backend service development, and production-grade delivery within the Corporate & Institutional Banking Technology group. The environment emphasizes ownership across development, testing, and production support. Work alongside global colleagues advancing next-generation digital banking through artificial intelligence.

Contract, Toronto, hybrid 1 day per week in office; production support rotation which could occasionally fall on a Sunday

12 month

Must Haves

5-7 years experience

Strong proficiency in Python for backend service development

Experience with LLM application development including AI agents
, tool/function calling
, and RAG pipelines

Hands-on use of Lang Chain and/or Lang Graph for multi-step LLM workflows and agent orchestration

Capability in prompt engineering for constrained generation

Advanced SQL skills

Expertise in RESTful API design and integration between AI services and backend systems

Experience with LLM observability and evaluation using tools such as Lang Fuse or Lang Smith

Background in cloud LLM deployment (e.g. Azure OpenAI or equivalent)

Ability to fully test implemented solutions including writing unit tests in advance of user acceptance testing

Nice to Have

Experience with columnar data formats and analytical databases (e.g. Parquet, DuckDB)

Familiarity with multi-LLM routing frameworks (e.g. LiteLLM)

Working knowledge of Java enterprise ecosystems

Working knowledge of Unix

Responsibilities

Collaborate within a team of 3–6 with a dedicated product owner, occasionally across geographies

Take ownership of delivery, divide business requirements into iterative value chunks, and release to production

Partner with the product owner to understand and challenge requirements

Participate in production support rotation ensuring platform stability

Adapt to working across multiple programming languages and technologies

Identify technical debt and prioritize remediation alongside new functionality

Pair with team members on tasks and knowledge sharing

Author blogs or internal stories to share technical insights and accomplishments

Engage in production governance activities including monitoring, risk, and control support

Seek automation opportunities and create reusable tools for the wider team

Contribute to a learning-focused, continuously improving team environment

Work independently under pressure with enthusiasm and self-motivation