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 • Fintech • Payments • Business Intelligence • Financial Services • Generative AI
Architect and build high-performance distributed infrastructure for batch and streaming data across global regions. Optimize state management, checkpointing, JVM performance, and exactly-once processing. Develop AI infrastructure including vector indexing, agentic workflows, and real-time data streaming. Own the full software development lifecycle, contribute to shared tooling and SDKs, and mentor engineers through technical leadership and design reviews.
Top Skills:
Apache FlinkSparkGoJavaJvmKafkaKotlinKubernetesOlap EnginesVector Indexing
Artificial Intelligence • Big Data • Healthtech • Information Technology • Machine Learning • Software • Analytics
Leads the design, development, deployment, and operation of production AI/ML solutions, including generative AI, RAG, agentic workflows, conversational AI, predictive models, and automation. The role establishes responsible AI practices, integrates enterprise data and APIs, improves evaluation and observability, partners with cross-functional teams, mentors engineers, and drives initiatives from proof of concept through production scale.
Top Skills:
AWSCi/CdEmbeddingsGenerative AiInfrastructure As CodeJavaKubernetesLarge Language ModelsLlmopsMcpMicroservicesMlopsNatural Language ProcessingPythonRestful ApisRetrieval-Augmented GenerationSemantic SearchStrands AgentsVector Databases
Information Technology
Engineer AI-powered threat detections, automated response playbooks, and continuous adversary emulation. Apply machine learning and LLMs to security operations, conduct threat hunting and AI red teaming, map coverage to MITRE ATT&CK, and develop detection-as-code through CI/CD. Build production-grade Python integrations, measurable containment capabilities, and safe autonomous defenses with guardrails. Mentor security professionals and collaborate across threat response, cyber defense engineering, and platform teams.
Top Skills:
AIAtomic Red TeamCalderaCi/CdCloud SecurityCobalt StrikeCrowdstrikeEntra IdInfrastructure-As-CodeLlmsMachine LearningMicrosoft DefenderMicrosoft SentinelMitre Att&CkPolicy-As-CodePythonSIEMSoarSplunkTinesXdr
What you need to know about the Charlotte Tech Scene
Ranked among the hottest tech cities in 2024 by CompTIA, Charlotte is quickly cementing its place as a major U.S. tech hub. Home to more than 90,000 tech workers, the city’s ecosystem is primed for continued growth, fueled by billions in annual funding from heavyweights like Microsoft and RevTech Labs, which has created thousands of fintech jobs and made the city a go-to for tech pros looking for their next big opportunity.
Key Facts About Charlotte Tech
- Number of Tech Workers: 90,859; 6.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Lowe’s, Bank of America, TIAA, Microsoft, Honeywell
- Key Industries: Fintech, artificial intelligence, cybersecurity, cloud computing, e-commerce
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (CED)
- Notable Investors: Microsoft, Google, Falfurrias Management Partners, RevTech Labs Foundation
- Research Centers and Universities: University of North Carolina at Charlotte, Northeastern University, North Carolina Research Campus


