biorender
Applied AI Engineer, Internal Products
At a Glance
- Location
- Canada
- Work Regime
- remote
- Employment
- FULL_TIME
- Experience
- 4+ years
- Department
- Data & AI Operations
Key Requirements
Required Skills
Domain Knowledge
- Automation
- Engineering
- Finance
- SaaS
Requirements
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.
Compensation & Benefits
We are mission-driven:
we work collaboratively towards our shared vision of improving scientific communication and accelerating scientific discovery. BioRender figures have appeared in more than 54,000 publications!
BioRender is loved by millions:
We have a world-class NPS and a community of loyal fans and users in 200+ countries!
Our company is backed by top investors
and accelerators like Y Combinator, and we are on a growth trajectory comparable to many top-performing SaaS companies
Responsibilities
We’re looking for an Applied AI Engineer to build internal, AI-powered products that make BioRender teams dramatically more effective. This role focuses on designing and shipping real systems — agents, tools, and workflows — that amplify human judgment and remove friction from how work gets done across the company.
You’ll work closely with Sales, Finance, People, Customer Success, and other internal teams to deeply understand how decisions are made today, identify where automation and AI can create leverage, and build durable solutions that scale. You’ll own problems end-to-end — think of this as a
full-stack builder
role, taking ideas from problem definition through deployment and adoption.
You’ll partner closely with senior business leaders across the company while building systems that meet production engineering standards, using the latest and greatest tooling to solve high-impact problems. As part of this role, you’ll have a seat at the table as we rethink how work gets done at BioRender in the age of AI — helping shape new patterns for how teams operate, make decisions, and build leverage using automation and modern AI systems.