Job Title: Software Engineer: Full-Stack or Software Engineer: Full-Stack (Data) Salary: $100,000-$220,000 + equity options. Location: Remote with occasional in-person work in our co-working space in downtown Toronto. About Us Fiscal.ai (formerly FinChat) is a leading research and data platform for capital markets.  Combining a powerful research Terminal with modern APIs, Fiscal.ai is building the modern financial data company.  The firm has raised $13M in venture backing and is headquartered in Toronto, Canada. With thousands of customers and millions of end-users through their API offerings, Fiscal.ai is building the premiere financial data company in the AI era. Brief Description of the Role: This role will be joining our growing and talented engineering Team. As a fast-growing company, you will be building at the intersection of the AI and finance. There are two main responsibilities of the engineering Team: - Building the Fiscal.ai Terminal product - Building the Fiscal.ai Financial Data infrastructure (and API product) Both require deep understanding of the full stack, LLMs and finance. If you think this is the perfect fit for you, we'd love to specifically hear why!

• Lead and mentor cross-functional teams of developers and QA analysts. • Drive end-to-end delivery of software projects using Agile methodologies. • Own technical design and architecture decisions in collaboration with stakeholders. • Ensure high-quality releases through strong process management and technical oversight. • Partner with product managers to align development with user needs and business priorities. • Continuously improve team performance, structure, and development practices. • Manage vendor relationships and represent the company in technical discussions. • Champion an AI-first culture, encouraging teams to rapidly innovate, experiment, and drive adoption of AI capabilities to enhance product performance and efficiency.

• Assists in developing, testing, deploying, and maintaining software; • Follows best practices established by the organization and participates in improvement conversations; • Consistently helps the team achieve results. • Learns through successful and failed experiment when tackling new problems; • Actively seeks ways to grow and be challenged using both formal and informal development channels • Builds partnerships and works collaboratively with others to meet shared objectives; • Collaborates with other team members in agile processes;

• Design, develop, and maintain robust and scalable web applications using TypeScript, HTML, CSS, Java, and Node.js in a microservice environment • Collaborate with cross-functional teams to define, design, and ship new features quickly • Write clean, maintainable, and efficient code in TypeScript and Java • Optimize applications for maximum speed and scalability • Troubleshoot and debug applications to ensure optimal performance • Implement data storage solutions using MS SQL and ensure data integrity • Participate in code reviews to maintain code quality and ensure best practices • Stay up-to-date with the latest industry trends and technologies • Build and deploy AI-powered applications using LLMs, GenAI agents, and retrieval-augmented generation (RAG) pipelines • Integrate AI services into full-stack solutions using frameworks like LangChain, FastAPI, or Azure OpenAI • Handle unstructured data (PDFs, HTML, audio, images) and multimodal models • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking • Collaborate with AI/ML engineers and data scientists to embed intelligent automation and decisioning into enterprise workflows • Contribute to the development of semantic search, vector databases (e.g., Pinecone, Supabase), and AI-enhanced user experiences.