As a Senior AI Engineer at BioRender, you'll develop AI-driven features, collaborate with cross-functional teams, and prototype innovative solutions to enhance scientific communication.
At BioRender, we are accelerating the world’s ability to discover, learn, and communicate science faster through visuals. Today, BioRender empowers millions of scientists to create beautiful, accurate biological figures for communication within pharma companies and academic research.
Our vision is to make BioRender the place where humans read biology—translating human and AI-generated data into scientifically accurate, human-understandable visuals. As AI automates large parts of research, BioRender will transform complex data, experimental results, and text inputs into clear, intuitive visuals that scientists, decision-makers, and broader audiences can quickly interpret. Visual communication will be critical to accelerating breakthroughs across academia and industry, and BioRender will bridge the gap between specialized knowledge domains.
About Us:
We’re on a mission to democratize science communication with cutting-edge AI-powered products. As a Senior AI Engineer, you’ll not only build full-stack solutions but also integrate AI into every layer of our product—turning innovative ideas into production-ready features that delight our users.
What you'll be doing :
- Collaborate Across Teams: Work side-by-side with product managers, designers, and data scientists to shape a roadmap that leverages AI for smarter, more engaging user experiences.
- Prototype & Productionize: Rapidly prototype AI-driven features (e.g., natural language & multimodal processing, intelligent recommendations) and productionize them into our core product to help scientists communicate faster.
- Champion AI Innovation: Serve as the AI evangelist on your team—experiment with the latest AI models & techniques (LLMs, few-shot learning, RAG..) and share your insights to uplift the entire engineering organization.
- Own and Improve: Take end-to-end ownership of key components of our codebase, ensuring that both traditional and AI-powered features are robust, scalable, and maintainable.
- Drive Creative Problem-Solving: Embrace ambiguity, experiment boldly, and develop creative solutions that push the boundaries of what our product can do.
Our ideal fit brings:
- AI Fluency & Passion: You’re genuinely curious about AI, continuously explore emerging tools, and love applying them in real-world projects.
- Builder Mentality: With 7+ years of full-stack development experience, you’ve built products from concept to production and are eager to prototype and iterate quickly.
- Tech Expertise: Proficient in modern JavaScript frameworks (e.g., ReactJS), NodeJS/ExpressJS, cloud infrastructure (e.g., AWS), and experienced with Python along with ML libraries (e.g., PyTorch or TensorFlow).
- LLM tooling: has experience leveraging modern tools to develop with LLMs and deploy/monitor/experiment with them in production.
- Creative Problem Solver: You thrive in ambiguous environments and can creatively tackle challenges—both in standard product features and in integrating advanced AI functionalities.
- Mentorship & Collaboration: You love sharing your knowledge, helping peers adopt AI best practices, and continuously improving team processes.
Why join us?
- 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 • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Design, develop, and deploy agentic AI workflows and LLM-based automations for clinical and business use. Build scalable RAG solutions, vector DB integrations, and production-grade Python services. Implement AI orchestration frameworks, ensure MLOps/LLMOps, monitor observability, and collaborate with product, clinical, security, and engineering teams to deliver secure, compliant healthcare AI capabilities.
Top Skills:
Api IntegrationsAutogenAWSAzureAzure Ai SearchChromaContainersCrewaiElasticsearchFaissGCPGenerative AiLangchainLanggraphLarge Language Models (Llms)LlamaindexLlmopsMicroservicesMlopsOpensearchPineconePrompt EngineeringPythonPyTorchRetrieval-Augmented Generation (Rag)Scikit-LearnSemantic KernelServerlessTensorFlowVector DatabasesWeaviate
Artificial Intelligence • Consumer Web • Digital Media • Information Technology • Social Impact • Software
Lead end-to-end development of full-stack AI features on a Ruby on Rails backend and React frontend. Build and optimize AI infrastructure for production LLM inference, implement RAG and AI agents, design and run experiments and A/B tests, improve tooling and processes for scale, collaborate with designers and leaders, and iterate quickly while maintaining high code quality and user experience.
Top Skills:
Ai AgentsLarge Language ModelsMySQLPostgresReactRetrieval-Augmented GenerationRuby On Rails
Cloud • Computer Vision • Information Technology • Sales • Security • Cybersecurity
Design, build, and operate large-scale LLM infrastructure and data platforms for training, fine-tuning, and inference. Provision GPU clusters, optimize GPU utilization, implement model lifecycle management, deploy inference frameworks, create evaluation and observability systems, and collaborate with data scientists to productionize AI capabilities. Mentor engineers and enforce MLOps/DataOps best practices.
Top Skills:
AirflowAnsibleAWSCudaDaskDockerFlinkGCPGpuJaxKubernetesLangchainLlamaindexMegatronMlflowNvidia DriversOciPythonPyTorchRaySagemakerSlurmSparkTerraformTpuTriton Inference ServerVertex AiVllm
What you need to know about the NYC Tech Scene
As the undisputed financial capital of the world, New York City is an epicenter of startup funding activity. The city has a thriving fintech scene and is a major player in verticals ranging from AI to biotech, cybersecurity and digital media. It also has universities like NYU, Columbia and Cornell Tech attracting students and researchers from across the globe, providing the ecosystem with a constant influx of world-class talent. And its East Coast location and three international airports make it a perfect spot for European companies establishing a foothold in the United States.
Key Facts About NYC Tech
- Number of Tech Workers: 549,200; 6% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Capgemini, Bloomberg, IBM, Spotify
- Key Industries: Artificial intelligence, Fintech
- Funding Landscape: $25.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Greycroft, Thrive Capital, Union Square Ventures, FirstMark Capital, Tiger Global Management, Tribeca Venture Partners, Insight Partners, Two Sigma Ventures
- Research Centers and Universities: Columbia University, New York University, Fordham University, CUNY, AI Now Institute, Flatiron Institute, C.N. Yang Institute for Theoretical Physics, NASA Space Radiation Laboratory


