Full Stack Engineer (12 months) to develop AI-driven backend and full-stack solutions within the AI Markets platform - HSNAJP00000445

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 LangChain and/or LangGraph 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 LangFuse or LangSmith
• 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
• Knowledge of HTTP APIs such as RESTful APIs

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