The Applied AI Engineer will develop AI-powered systems to streamline internal processes, collaborating with various departments to enhance efficiency and automation. This role involves problem ownership, system design, and deploying solutions that leverage AI technology while ensuring user adoption and long-term value.
At BioRender, we’re on a mission to accelerate the world’s ability to learn, discover, and communicate science — transforming how knowledge is shared and making science open, collaborative, and easily understandable by all.
We’re shaping the future of science communication and are looking for talented individuals to help bring this vision to life! 🚀
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.
- 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
- 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
- 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
- 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
- We’re remote-first with team members across Canada and the U.S., offering you the flexibility to work from anywhere.
BioRender is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Similar Jobs
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Lead and build a cybersecurity sales team in the region, define and execute go-to-market and territory strategy, recruit and coach sales executives, drive pipeline generation and accurate forecasting, engage C-level stakeholders, collaborate across functions and partners, retain and grow customers, and achieve quarterly and annual revenue targets.
Top Skills:
AIArmisCRMServicenowVeza
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Design and build the agent execution harness and orchestration runtime to run LLM agents reliably at enterprise scale. Improve fault tolerance, latency, and throughput; add observability, prompt/versioning infrastructure, evaluation suites; integrate frontier LLMs and manage model routing/cost tradeoffs. Provide technical leadership, architecture decisions, and define system boundaries for agent behavior.
Top Skills:
Agent FrameworksAi Observability (TracingApi DesignCloud-Native InfrastructureCost Tracking)Distributed SystemsEvaluation FrameworksLangchainLlamaindexLlmsMulti-Agent CoordinationPrompt Engineering
Artificial Intelligence • Cloud • HR Tech • Information Technology • Productivity • Software • Automation
Sell ServiceNow cybersecurity SaaS to federal enterprise customers by developing C-suite relationships, orchestrating cross-functional account strategies, generating new business, negotiating deals, and aligning ServiceNow AI/security solutions to customers' IT roadmaps.
Top Skills:
AIArmisSaaSServicenowVeza
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
