Radical Ventures: Ai Product Engineer

AI Product EngineerLocation : 59 Hayden St Suite 300, Toronto, ON M4Y 0E7Position Type: Full-Time
Radical Ventures OverviewRadical Ventures is the first AI-focused venture capital firm, with $2.5B AUM and offices in San Francisco, Toronto, and London. Ranked among the top performing VC firms globally, we partner with the world’s most transformative founders in artificial intelligence.
Learn more about our portfolio companies at
The Radical Ventures Velocity ProgramRadical’s Velocity program is designed around the specific needs of AI-first companies, delivering expert support where AI companies need it most. Radical is led by entrepreneurs who have experience building AI‑first companies and understand the unique challenges founders face leading fast‑moving and innovative AI businesses. Focused on serving Radical Ventures’ portfolio companies, the Velocity team comprises experienced founders, AI luminaries, investors, talent experts, communication experts, and technologists.
The RoleWe are seeking an AI Product Engineer with a passion for building AI‑native applications, designing and shipping tools from 0-1, and turning ideas into production‑ready systems. This is a unique opportunity to join Radical and own high‑impact projects end-to-end. While this role spans the full stack, there is a particular emphasis on building robust backend systems, data infrastructure, and the engineering foundations that power AI‑native products.
You will design and deploy tools that:
Provide insights into portfolio and market dynamics
Enhance sourcing, diligence, and investment decision‑making
Automate workflows and create intelligent systems that improve operational leverage
This role is ideal for an entrepreneurial engineer, who thrives in fast‑paced environments, and enjoys designing, building, and shipping AI‑native products end‑to‑end. You’ll be equally comfortable building polished user experiences and designing scalable backend systems, data infrastructure, and AI‑powered services.
Key Responsibilities
Design, build, and deploy AI‑powered applications end‑to‑end to support investment workflows and internal operations
Prototype and refine tools leveraging LLMs (e.G., OpenAI, Anthropic, Hugging Face, LangChain)
Design and engineer robust backend systems, APIs, data pipelines, and integrations across internal and external data sources
Experiment with advanced LLM application patterns, including agentic workflows, function calling, model composition, and evaluation frameworks
Build reusable platform components, developer tooling, and infrastructure that accelerate product development across the team
Collaborate with investment and operations teams to translate business needs into scalable software solutions
Write clean, maintainable, well‑tested, and well‑documented code while ensuring security, reliability, and performance
Champion engineering quality through testing, observability, thoughtful system design, and code reviews
Stay current on emerging AI technologies and bring fresh insights to the firm
QualificationsRequired
Bachelor’s or Master’s degree in Computer Science, Software Engineering, Computer Engineering, or a related discipline
4+ years of professional software engineering experience building and operating production systems
Strong full‑stack engineering skills, with particular strength in backend development (Python, Java, Go, or similar) and experience building modern web applications (TypeScript, React, or similar)
Experience designing APIs, working with relational databases (e.G., PostgreSQL, SQL Server), and building data pipelines
Experience building production applications powered by LLMs, including prompt engineering, evaluation, and iterative improvement
Excellent communication skills with the ability to engage non‑technical stakeholders
Strong problem‑solving skills and ability to work independently in an unstructured, fast‑moving environment
Bonus Points For
Experience with cloud platforms (AWS, GCP, or Azure)
Experience with Docker, Kubernetes, CI/CD pipelines, or modern cloud infrastructure
Experience building developer tooling, internal platforms, or reusable infrastructure components
Why Join Radical
Direct impact: Your work will directly shape how a top global VC firm operates - designing and shipping AI‑native tools that enhance decision‑making and scale insight.
Unique exposure: Gain insight into both cutting‑edge AI technology and the venture capital ecosystem, while working alongside companies that are pushing the boundaries of what’s possible with AI
World-class network: Collaborate with Radical’s scientific advisors and industry leaders at the forefront of AI
Entrepreneurial environment: Freedom to build, experiment, and take ownership of meaningful projects early in your career
Career growth: Develop technical, strategic, and business skills at the intersection of AI and venture investing
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