Founding Engineering Lead
1 month ago
Banting AI is on a mission to transform healthcare through advanced AI, harnessing multimodal healthcare data to accelerate life-saving treatments and enable personalized medicine. We believe that the future of healthcare depends on innovative technology and powerful data integration, and we’re building a platform to make this vision a reality. As an early-stage company, we’re focused on assembling a founding team of passionate, entrepreneurial experts who are ready to make an outsized impact on health and science.
As Founding Engineer, you’ll be joining Banting AI’s core team at an exciting and pivotal stage. This is a unique opportunity to shape the technical foundation and long-term vision of the company from the ground up. You will have a crucial role in making key architectural decisions, building the initial product, and driving technical strategy, all while collaborating closely with our Chief Scientific Officer (CSO) and founding team. Your contributions will directly influence the future of the platform, our company, and the impact we have on healthcare. This role is ideal for an entrepreneurial engineer with the vision, technical expertise, and ambition to build something meaningful. You’ll be the technical authority, responsible for leading our engineering team, making pragmatic decisions, and setting the standard for quality, compliance, and responsible AI.
As the Founding Engineer at Banting AI, you will be responsible for defining and executing the technical direction of our platform. You’ll lead the design, development, and deployment of scalable AI solutions that leverage multimodal data sources (e.g., imaging, EHR, genomics) to empower clinical research and personalized healthcare. Working with the CSO, you will take the reins in making day-to-day technical decisions and ensuring that our platform is built on a strong, adaptable, and responsible technical foundation.
- Technical Leadership: Set the technical direction, making key architectural decisions and aligning engineering objectives with the company’s strategic vision.
- Product Development: Build and deploy product, ensuring our platform is both robust and scalable as we grow.
- Hands-On Engineering: Participate in coding, model development, and infrastructure design to establish a strong foundation, particularly during the early stages.
- Pragmatic Decision-Making: Translate the CSO’s research focus into actionable, practical engineering solutions, balancing long-term innovation with short-term delivery.
- Responsible AI & Compliance: Uphold high standards for responsible AI and ensure compliance with healthcare regulations (HIPAA, GDPR), building trust with partners and users.
- Team Building & Mentorship: Recruit, mentor, and inspire a talented engineering team, establishing a collaborative and high-performance culture.
- Cross-Functional Collaboration: Partner with product, data science, and business development teams to align technical execution with market needs, partner expectations, and company goals.
- Project & Resource Management: Oversee technical project timelines, resource allocation, and budgeting, ensuring timely and efficient delivery on key milestones.
- Technical Expertise: Bachelor’s, Master’s, or Ph.D. in Computer Science, Engineering, or a related field with a strong foundation in machine learning, data engineering, and software architecture.
- Experience: 7+ years in software engineering or machine learning, with 3+ years in a technical leadership role, ideally within healthcare, AI, or high-growth technology companies.
- Healthcare Compliance Knowledge: Familiarity with HIPAA, GDPR, and regulatory standards in healthcare, with a track record of implementing compliant systems.
- Problem-Solving Orientation: Ability to make pragmatic, strategic technical decisions, balancing immediate product needs with long-term scalability and innovation.
- Hands-On Skills: Proficiency in Python, SQL, and machine learning frameworks (e.g., TensorFlow, PyTorch) along with experience in cloud infrastructure (e.g., AWS, GCP).
- Collaborative Leader: Strong communication and interpersonal skills, able to work cross-functionally and translate complex technical requirements for a range of stakeholders.
- Commitment to Responsible AI: Knowledge of responsible AI practices, including bias detection, model transparency, and safety protocols, and a commitment to building fair, ethical AI solutions.
At Banting AI, we are committed to fostering an inclusive and diverse environment. We believe that diversity in thought, background, and experience strengthens our team and contributes to innovative solutions in healthcare. We welcome candidates from all backgrounds to apply.
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