Radical Ventures: AI Product Engineer

AI Product Engineer

Location: 59 Hayden St Suite 300, Toronto, ON M4Y 0E7
Position Type: Full-Time

Radical Ventures Overview
Radical 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 www.radical.vc.

The Radical Ventures Velocity Program
Radical’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 Role
We 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

Qualifications

Required:

• 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

Interested in joining the team? Send an email to: careers@radical.vc