Job Specifications
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!
About The Role
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.
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 us?
We are missi