AI Engineer

Job Description BoxOne Ventures is redefining venture investing for the era of AI and autonomous agents. We're seeking a AI Engineer to work closely with our AI Engineering Lead to design, build, and improve our next-generation technology platform-covering everything from autonomous deal scouting and AI-driven diligence to research augmentation and real-time portfolio monitoring. You'll operate at the forefront of emerging technologies: prototyping with the latest agent architectures, experimenting with advanced LLM tools, and translating bold ideas into production-grade systems. Our long-term vision is for you to launch and oversee a fleet of autonomous agents that work hand-in-hand with our investment team, elevating both the speed and quality of decisions. We need a self-directed builder who pairs deep technical skill with product intuition-someone energetic, versatile, and comfortable navigating ambiguity while supporting multiple teams. If you thrive on pushing boundaries and turning innovation into impact, we want to meet you. Responsibilities Rapid Prototyping & Implementation Take high-level concepts and ship working prototypes within 24-48 hours. Build backend services and data pipelines that collect, process, and structure information for AI consumption. Build flexible dashboards that surface the most important information when it's needed. Technology Research & Innovation Continuously scout emerging AI/ML models, agent architectures, and developer tools. Rapidly prototype and integrate the best ideas to keep BoxOne at the frontier of augmented decision-making. Establish lightweight experimentation pipelines, evals, and success metrics. Workflow Automation Automate repetitive or low-value steps through intelligent orchestration and system integrations. Build resilient data pipelines that move information seamlessly between agents, internal databases, and external APIs. Data Engineering Design and implement data schemas optimized for both AI processing and fast queries. Build robust pipelines that can ingest data from diverse sources (APIs, documents, web sources). Create systems that continuously collect and update targeted datasets without constant maintenance. Collaborative Problem Solving Partner closely with investors, venture partners, and incubation teams to translate their needs into elegant technical solutions. Document, demo, and train colleagues on new tools to accelerate adoption and foster a culture of technical curiosity. Requirements Relevant Experience : Proven experience of AI Engineering, with a portfolio projects. Someone who builds and ships, not just closes tickets. Show us your GitHub. Technical Skills : Strong proficiency in Python. Go and Next.js are nice-to-haves Experience building RAG pipelines, database design, and multi-step agentic workflows Preference for working directly with LLM APIs, building specialized tools, and creating evaluation frameworks Experience with web browsing agents and modern information retrieval Independent Work Ethic : Capacity to work independently with minimal supervision, demonstrating initiative and self-motivation. Ships working prototypes in hours/days, not weeks. AI Engineering Mindset : Builds custom solutions instead of stitching together frameworks. Natural intuition for when to use AI vs. traditional engineering. Problem-Solving Abilities : Strong analytical and problem-solving skills to troubleshoot issues quickly and efficiently. Data Awareness : Strong focus on context engineering and always looks at the data. Iterative Development Mentality : Build, ship, get feedback, iterate. About BoxOne Ventures BoxOne Ventures is an early-stage investment firm. We invest our own capital in entrepreneurs we believe in. This gives us patience and flexibility from napkin to IPO. Members of the team include operators in life sciences, process engineering, data informatics, and financial management. Entrepreneurs and other investors collaborate in person at BoxOne's award-winning office located in the historic RCA Building in the St-Henri neighborhood of Montreal.