Job Specifications
We are seeking a Senior AI/ML Engineer based in Montreal to lead the development and deployment of GenAI solutions within a capital markets environment. This role supports multiple business lines including investment banking and securitization, with a focus on building intelligent capabilities that streamline document-heavy workflows, enhance decision-making, and reduce manual processes across front-office operations.
Responsibilities
Design, develop, and deploy GenAI-powered solutions across capital markets business lines
Build and maintain end-to-end ML and NLP pipelines from prototyping through production deployment
Architect and implement LLM-based workflows using orchestration frameworks such as LangChain and LangGraph
Evaluate and select appropriate LLM models based on use case requirements, cost, and performance
Integrate vector databases to support retrieval-augmented generation and document intelligence capabilities
Collaborate with distributed teams across the US, Canada, and India to translate business requirements into scalable AI solutions
Leverage AI-assisted development tools (GitHub Copilot, Claude Code, or similar) to accelerate delivery
Requirements
3–7+ years of experience in data science, machine learning, NLP, or AI engineering
Strong hands-on proficiency in Python (non-negotiable)
Direct experience building with LLMs, including model evaluation, comparison, and selection
Experience with orchestration frameworks such as LangChain and/or LangGraph
Familiarity with vector databases (e.g., Pinecone, Chroma, KDB, SQLite-based vector stores)
Background in NLP, text extraction, document processing, or text-to-SQL is highly valued
Experience in capital markets, investment banking, or securitization is a strong plus but not required
Excellent verbal and written communication skills, comfortable working across time zones via video
Familiarity with agile/scrum delivery cadences and tools such as Jira
Nice to Have
Experience with AI-assisted coding tools (GitHub Copilot, Claude Code, Windsurf, Cursor)
Exposure to document-heavy financial workflows (deal pipeline management, syndication, loan securitization)
Experience deploying GenAI solutions within regulated or enterprise environments
About the Company
Prospect 33 is at the vanguard of transforming financial services through artificial intelligence, embodying the bridge between the sector's traditional practices and the technological advancements of the future. Prospect 33 specializes in leveraging AI to enhance financial operations, risk management, and customer engagement, thereby driving the industry towards a more efficient, secure, and integrated future. The company's strategy hinges on a collaborative approach, partnering with tech innovators and industry leaders to ...
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