Forward Deployed AI Software Engineer

On this journey for over 12 years, Qventus is leading the transformation of healthcare. We enable hospitals to focus on what matters most: patient care. Our innovative solutions harness the power of machine learning, generative AI, and behavioral science to deliver exceptional outcomes and empower care teams to anticipate and resolve issues before they arise.

Our success in rapid scale across the globe is backed by some of the world's leading investors. At Qventus, you will have the opportunity to work with an exceptional, mission-driven team across the globe, and the ability to directly impact the lives of patients. We're inspired to work with healthcare leaders on our founding vision and unlock world-class medicine through world-class operations.

The Role
Forward Deployed AI Software Engineers at Qventus collaborate directly with clients to rapidly uncover their most pressing challenges and design AI-powered solutions to address them. Our customers depend on Qventus' platforms for mission-critical operations, and projects often begin with broad, high-impact questions like, "How can we reduce operating room delays?" or "What's the most effective way to optimize patient flow using generative AI?" As an AI Software Engineer Engineer, you'll combine problem-solving skills, creativity, and deep technical expertise in LLMs and other AI technologies to deliver solutions with measurable real-world impact. You'll gain unique exposure to, and play a hands-on role in, transforming some of the most important industries and institutions in the world.

You'll work in small, focused teams with significant autonomy, taking ownership of high-stakes projects from start to finish. Your day might include architecting high-performance backend systems, developing intuitive user interfaces, integrating data pipelines with hospital systems, collaborating with stakeholders on requirements, or iterating on product features to ensure seamless adoption.

Key Responsibilities

• Design, engineer, and optimize scalable backend systems, data pipelines, and AI-driven applications.
• Rapidly prototype, test, and iterate on generative AI solutions to validate ideas and refine user-focused products.
• Collaborate with data scientists, engineers, and product leaders to operationalize models and deploy production-grade AI systems at scale.
• Build and deliver high-quality, intuitive user interfaces with modern frameworks (React, JavaScript, HTML5, CSS3).
• Translate complex user and client needs into technical solutions that balance performance, usability, and scalability.
• Develop and maintain automated build, test, and deployment pipelines to ensure software reliability and performance.
• Stay current with AI advancements and apply emerging breakthroughs (e.g., LLMs, RAG pipelines, LangChain) to enhance capabilities and drive product innovation.
• Provide technical leadership in identifying, evaluating, and executing on AI opportunities.

What We're Looking For

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Proven full-stack development experience delivering complex, production-grade software systems.
• Strong programming skills in Python (preferred) or Java, with experience in SQL/NoSQL databases.
• Hands-on experience building and deploying products leveraging generative AI models.
• Familiarity with AI development frameworks and tooling (e.g., LangChain, Hugging Face, PyTorch, TensorFlow).
• Expertise in designing scalable systems for high throughput, reliability, and security.
• Ability to thrive in fast-paced, collaborative environments, navigating ambiguity with creativity and problem-solving.

Bonus Points

• Experience with React + Redux and backend development using Python/Django.
• Knowledge of healthcare data standards, workflows, or integration (FHIR, HL7).
• Contributions to AI research, open-source projects, or publications.
• Familiarity with REST APIs, microservices, and distributed systems.
• Expertise in large-scale metrics, monitoring, and performance tuning.
• Experience building products from the ground up, including both backend and frontend components.

Compensation for this role is based on market data and takes into