Full Stack Engineer

Join to apply for the Full Stack Engineer role at Invictus Accounting Group LLP Invictus Accounting Group LLP provided pay range This range is provided by Invictus Accounting Group LLP. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range CA$70,000.00/yr - CA$100,000.00/yr Are you ready to help build innovative products from the ground up with a team transforming the accounting industry? Invictus is growing, and we’re looking for talented software engineers to join us as we develop leading-edge technology solutions for finance and accounting. At Invictus, you’ll work alongside passionate professionals developing groundbreaking tools - some for commercialization, others to streamline and automate our internal processes. You’ll gain hands‑on experience with the latest in AI, NER, cloud, and automation technologies as you help shape the future of financial reporting. We are seeking a Software Engineer to help power the core intelligence of our financial statement automation platform. This is not a role where you simply call external APIs. Here, you will fine‑tune Transformer models and apply heuristic rules as well as deterministic logic to interpret the nuance, structure, and semantics of financial reporting. The Role: Software Engineer - Full Stack Developer This is a hybrid full‑stack role focused on building the core intelligence behind our financial automation platform. You’ll write application logic, train Transformer models, build APIs that serve ML inference, and collaborate with CPAs and domain experts who understand IFRS and US GAAP inside out. It’s a hands‑on engineering position where you’ll work across the stack, refine NER and classification models, and contribute features that get used by real accounting teams. You won’t just call external APIs. You’ll train, deploy, and optimize your own. Ideal for a junior or intermediate engineer with roughly two to five years of professional experience who wants serious responsibility, technical growth, and an environment that values curiosity. What You’ll Do Full-Stack Engineering and ML Integration Build and maintain backend features in Python and contribute to frontend functionality where needed. Develop and extend FastAPI endpoints that serve model inference in production. Troubleshoot issues across the stack, from data preprocessing to API performance. Assist in integrating .NET Core components that connect ML workflows to application logic. Model Training and Document Intelligence Fine‑tune BERT based models for NER, token classification, and text extraction. Train models using LoRA, QLoRA, and other PEFT methods for performance and cost improvements. Implement tokenization, preprocessing, and dataset curation pipelines tailored to financial documents. Collaborate with CPAs to build high quality datasets grounded in IFRS and US GAAP structure. Quality, Research, and Reliability Write clean, well tested code across training, inference, and deployment workflows. Participate in code reviews with backend and ML teams to uphold engineering standards. Track precision, recall, and error patterns to guide iteration. Stay up to date with applied NLP research and bring new methods into production when they move the needle. Cross Functional Collaboration Work directly with backend engineers, ML engineers, and product managers. Coordinate with offshore partners to bring R&D prototypes into production. Communicate model behavior and limitations clearly to both technical and non technical stakeholders. What You Bring Technical Foundations Strong Python development skills, ideally with FastAPI. Understanding of async patterns, Pydantic models, and containerization. Hands‑on experience fine‑tuning Transformer models using Hugging Face tools. Familiarity with LoRA, QLoRA, quantization, and GPU optimization best practices. Experience deploying models using Docker and cloud services such as Azure. Knowledge of NER, sequence classification, or document segmentation. Mindset and Work Style Curiosity and a willingness to dive into research when needed. Strong communication skills and ability to collaborate with domain experts. Attention to detail and pride in writing clean, maintainable code. Interest in understanding financial document structure even if you aren’t from a finance background. Experience Level Two to six years of software engineering or ML engineering experience. Experience shipping production ML models is a strong plus. Exposure to financial data is a bonus, not a requirement. Why You’ll Love This Role Build real ML systems that interpret complex financial documents. Work directly with CPAs and domain experts, gaining context rarely found in engineering roles. Join a team that values balance and deep work through the Great Eight methodology. Contribute to a fast growing technical function inside a well established advisory firm. Work in a hybrid environment at our Coal Harbour office with flexibility and trust. Compensation and Work Environment Hiring for both Junior and Intermediate levels, with compensation aligned to experience and skill level. Salary range: 70k to 100k (flexible for the right candidate). Hybrid work environment from the Coal Harbour office with flexibility for remote days. Full benefits package, including support for professional development. Ready to Build the Future of Financial Automation? Apply now. No cover letter required. About Us We are not your typical CPA firm. Located in downtown Vancouver, our 70+ team members provide consulting, accounting, and tax advisory for public and private companies. Our team members enjoy client variety, camaraderie, and a professional yet flexible work environment. Our proprietary “Great Eight” methodology ensures a highly effective and balanced eight‑hour workday - so you can focus, excel, and still have time for life outside work. Seniority level Associate Employment type Full-time Job function Information Technology Industries Accounting #J-18808-Ljbffr