Aucctus is on a mission to build the platform that Fortune 5000 companies use to design their future. Backed by supportive investors and already partnered with some of the world's largest and most ambitious enterprises, we've achieved early product-market fit- and we're just getting started.

We're not just building software- we're building the AI-powered command center for enterprise innovation. Our platform is how corporate teams are charting their strategic moves, testing new business models, and making bold bets- all powered by next-gen AI agents.

If you're a full-stack engineer who craves deep technical ownership, gets excited about building scalable systems with cutting-edge AI and agent-based architectures, and thrives in fast-paced environments where shipping matters most- we want to work with you.

About The Role:

• Full-Stack AI Development: Build robust end-to-end solutions, from Python-based back-end services and AI-driven logic to React-based front-end interfaces, ensuring reliability and exceptional user experiences.
• Agent & AI Integration: Design and implement agent-based systems that can reason, automate tasks, and adapt to user inputs through large language models and other advanced AI capabilities.
• CI/CD: Implement continuous integration and deployment processes for code and models, ensuring rapid, reliable releases and a seamless development lifecycle.
• Resource Management: Identify opportunities to leverage external engineering or data resources and effectively manage these relationships to accelerate development and maintain quality.
• Cross-Functional Collaboration: Work closely with product, marketing, and sales teams to gather user feedback and market insights, influencing product direction and feature prioritization.
• LLM and Agent-Based Systems Development: Design, implement, and deploy AI agents that autonomously learn to select and execute custom functions using Python.
• Contextual Decision-Making: Train agents to recognize contextual prompts and determine the necessary functions to perform tasks, optimizing for accuracy and efficiency.
• Multi-Agent Coordination: Develop frameworks for dynamic task assignment within multi-agent systems, enabling agents to coordinate effectively on complex workflows.
• RAG Optimization: Design, develop, and optimize RAG models for effective information retrieval and generation in conversational AI systems.
• Vector Databases & Indexing: Utilize vector databases and advanced indexing techniques to efficiently store and retrieve relevant information for conversational contexts.

Who We're Looking For:

Technical Expertise:

• Expertise in Python (at least 3 years of production grade experience) and Django for server-side development and React for front-end interfaces.
• Strong proficiency in JavaScript and TypeScript with a preference for TypeScript experience.
• Strong understanding of LLMs Agents and AI-driven architectures. Experience with custom function execution within LLM frameworks; skilled in prompt engineering, model fine-tuning, and dynamic function mapping. Experience with related technologies is a plus.
• Experience with scalable, maintainable software architectures.
• Familiarity with version control (Git), automated testing, and code reviews.
• Extensive experience with React and related front-end frameworks and libraries.
• Familiarity with front-end package managers such as npm and build tools like Webpack or Vite .
• Experience with RESTful APIs and integration with backend systems built in Python (Django, FastAPI).

Leadership & Collaboration:

• Ability to develop a strong point-of-view on technical direction, establishing and adhering to engineering standards.
• Excellent communication skills to effectively collaborate across teams and explain complex technical ideas to non-technical stakeholders.
• Self-starter with the ability to work independently and collaboratively

Problem-Solving, Adaptability & Speed:

• Ability to diagnose complex technical issues and implement innovative solutions.
• Comfortable with ambiguity and capable of rapid iteration based on feedback.
• Comfortable moving extremely fast and able to prioritize truly critical tasks against a need to commit and ship.
• Proven Experience: At least 1+ years working with LLMs, with a strong focus on developing function-driven multi-agent systems.

Why Aucctus

• We're solving an urgent problem for massive companies- our customers love our product and work with us on a weekly basis to improve the product.
• You'll be joining early, meaning your work will have a lasting imprint on the company, the culture, and the product.
• You'll be surrounded by a team of top-tier performers who work fast, hold each other to high standards, and support each other like crazy.
• You'll get to work with and on the cutting edge of AI every day, building a product that's not only AI-powered but helps other people unlock the full power of AI too.
• We offer competitive compensation, stock options, and the chance to ride a rocket.

Working Conditions:

• This is a hybrid role with in-person requirements in our Toronto or Ottawa offices.
• Some domestic and international travel may be required
• Legal eligibility to work in Canada is required. Must be flexible to work evenings, weekends, and as needed for travel.

What We Value

We're building a company where A-players can do the best work of their careers, and have a blast doing it. Here's what we believe in:

• Support first: We default to helping each other succeed, personally and professionally
• Maximum effort: We show up to give our best, consistently.
• Radical honesty: We speak up, disagree respectfully, and speak truth.
• Merit over ego: The best ideas win, no matter where they come from.
• Empathy always: We consider the human impact of our decisions.

Sound Like You?

We'd love to hear from you. Feel free to share your GitHub, links to projects, a brief summary of systems you've built, or anything else that shows how you think and what you've shipped- especially if it involves AI agents, LLMs, or full-stack architecture.

Want to stand out? A top-tier candidate will email our team at with a 1-2 minute Loom or short write-up walking us through an AI system you've built that you're proud of- ideally something involving LLMs, agents or RAG. Bonus points if you include a hot take on where AI engineering is going (something you think that most engineers aren't paying enough attention to).