Forward Deployed AI Software Engineer, Qventus

• 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

Desirable

• 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
• 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