Applied AI Engineer Internal Products

About BioRender

BioRender is dedicated to accelerating the world’s ability to learn, discover, and communicate science. We aim to transform how knowledge is shared, making science open, collaborative, and easily understandable for everyone. As we shape the future of science communication, we seek talented individuals to help realize this vision. 🚀

About The Role: Applied AI Engineer Internal Products

We are looking for an Applied AI Engineer Internal Products to develop internal, AI-powered products that significantly boost the effectiveness of BioRender teams. This role focuses on designing and deploying practical systems – including agents, tools, and workflows – that enhance human judgment and streamline operations across the company.

You will collaborate closely with various internal teams such as Sales, Finance, People, and Customer Success to gain a deep understanding of current decision-making processes. Your goal will be to identify areas where automation and AI can create significant leverage and then build robust, scalable solutions. This is an end-to-end full-stack builder role, where you will own problems from initial definition through deployment and adoption.

You will partner with senior business leaders throughout the company, constructing systems that meet production engineering standards and utilizing cutting-edge tools to solve high-impact challenges. As an integral part of this role, you will help redefine how work is accomplished at BioRender in the era of AI, contributing to new operational patterns, decision-making frameworks, and leveraging automation and modern AI systems.

What You’ll Be Doing

• Partner with internal teams to build high-leverage automation and AI-powered systems that meaningfully improve how work gets done.
• Identify and own high-impact problems, translating business needs into well-designed internal systems and tools.
• Design, build, and ship automation and AI-driven solutions using appropriate levels of engineering rigor.
• Exercise sound judgment in choosing when to build, buy, or configure existing tools, and when deeper custom engineering is required.
• Evolve prototypes into reliable, production-ready systems with attention to correctness, observability, and maintainability.
• Embed with teams across Sales, Finance, People, Customer Success, and other functions to understand workflows, decision points, and sources of friction.
• Partner closely with business and engineering stakeholders to ensure adoption, trust, and long-term value.
• Document patterns, share learnings, and enable others to safely extend or build on what you create, with input into how we scale this approach across the company.

What You Bring To The Table

• 4+ years of software engineering experience building and shipping production systems or internal applications end-to-end (backend + basic frontend), preferably in Python and JavaScript/Node.
• Hands-on experience with AI models and APIs (e.g., OpenAI, Anthropic/Claude, Google/Gemini, v0/Vercel ecosystem) applied to real product or internal workflow problems.
• Strong experience building and maintaining integrations between SaaS tools, internal systems, and third-party APIs.
• High agency and builder mindset – comfortable owning ambiguous problems and moving from idea to working system.
• Proactive, self-directed work style – can break down ambiguous problems, prioritize, and execute with minimal oversight.
• Product-oriented thinking – ability to map and understand complex business processes, translate them into technical designs, and iterate with stakeholders.
• Ability to rapidly build and test solutions, choosing the appropriate level of engineering from custom code to low-code tools.
• Solid software engineering fundamentals: testing, logging, monitoring, error handling, security basics, and code quality.
• Ability to communicate clearly with non-technical partners and build trust in the systems you ship.
• Curiosity about how work should evolve in an AI-native world, paired with pragmatism about what’s ready to deploy today.

Bonus Points

• Experience designing, building, or orchestrating AI agents or multi-step AI workflows.
• Track record of automating repetitive tasks for teams using AI and/or traditional scripting.
• Demonstrated experience leading AI-driven workflow transformations across multiple business units or functions.
• Experience with AI SDKs and modern developer ecosystems (e.g., Vercel, Claude/Code, Google’s AIStudio, Claude Agent SDK, Google Agent SDK, OpenAI Agent SDK).
• Prior work in SaaS or B2B product companies, especially in roles close to GTM, Tooling or operations.
• Prior consulting or internal role focused on process optimization, workflow redesign, or digital transformation.
• Prior experience as a technical founder or early engineer.
• Public artifacts showing thought leadership (technical blogs, talks, videos, open-source contributions).
• Familiarity with low-code/no-code tools and RPA-style automations where appropriate (e.g. Zapier, Airflow etc).
• Basic product thinking: running experiments, A/B tests, or pilots with business stakeholders.

Why Join BioRender?

• Mission-driven: Contribute to improving scientific communication and accelerating scientific discovery. BioRender figures appear in over 54,000 publications!
• Loved by millions: Join a company with a world-class NPS and a loyal global user community.
• Backed by top investors: Supported by Y Combinator and on a strong growth trajectory comparable to top SaaS companies.
• Remote-first: Enjoy flexibility with team members across Canada and the U.S.

Key skills/competency

• Applied AI
• Software Engineering
• Internal Product Development
• Python
• JavaScript/Node.js
• AI Models & APIs (OpenAI, Claude, Gemini)
• SaaS Integrations
• Automation
• System Design
• Workflow Optimization