Applied AI Engineer

New York, NY

Full Time

Experienced

Applied AI Engineer

Full Time

New York, NY

AndHealth is a healthcare technology company created to help people reverse chronic disease. We are driven by the goal of making world-class specialty care accessible and affordable to all. We partner with health systems, community health centers, plans, and employers to remove barriers to care to ensure all people have access to the care they deserve.

We are looking for an Applied AI Engineer to help build the next generation of intelligent systems that power the AndHealth platform. This role combines modern software engineering with applied AI, focusing on building production-ready applications that improve the patient experience, support our care teams, and streamline operational workflows.

In this role, you will work across the full software development lifecycle from identifying high-impact opportunities for AI to architecting and deploying production systems that integrate seamlessly into our mobile, web, and backend platforms.

You’ll collaborate closely with Product, Engineering, Data, and Care teams to build technology that directly improves patient outcomes.

Both the company and the Product & Engineering team are on a path of significant growth. We're looking for someone excited about growing with us while contributing to the company’s success and continuing to develop their craft.

What you'll do in the role:

Design and develop intelligent applications that improve the experience for patients and care teams, including AI copilots that assist with patient workflows and clinical operations.
Build AI-powered tools that generate insights from patient data, enhance patient communication and engagement, and automate administrative tasks for clinicians and care teams.
Design and deploy scalable AI systems using modern applied AI techniques, including LLM-powered applications integrated into real product workflows.
Build and maintain RAG pipelines, vector-based knowledge retrieval systems, and AI agents that automate complex tasks and workflows.
Implement prompt orchestration, evaluation, monitoring, and guardrails to ensure AI systems are reliable, observable, and safe for healthcare environments.
Partner with Product, Care, and Operations teams to understand real-world healthcare workflows and identify operational bottlenecks where AI can improve efficiency, decision-making, and patient outcomes.
Rapidly prototype, test, and iterate on AI solutions using real user feedback and usage data to ensure systems deliver measurable improvements in clinical and operational workflows.’
Integrate AI services into AndHealth’s mobile, web, and backend platforms to enable intelligent features across patient and care-team experiences.
Build and maintain data pipelines and backend services that power AI applications and support reliable model inputs and outputs.
Deploy and operate AI systems on Google Cloud Platform, ensuring performance, scalability, security, and reliability in collaboration with platform and infrastructure teams.
Partner with Product, Data, and Care teams to translate real-world operational challenges into scalable AI-powered solutions that improve patient and care-team outcomes.
Contribute to shaping AndHealth’s AI strategy, architecture, and tooling to support the responsible and effective use of AI across the platform.

Education & Licensure Requirements:

Bachelor’s degree in Computer Science, Engineering, or related field preferred.

Other Skills or Qualifications:

Experience building production AI applications, particularly systems powered by LLMs such as RAG pipelines, AI copilots, workflow automation tools, or knowledge retrieval systems.  
Strong software engineering fundamentals with experience building scalable backend systems using languages such as Python, TypeScript, or similar.  
Experience designing APIs, distributed systems, and service-based architectures that support reliable and scalable applications.  
Experience deploying and operating applications in cloud environments such as Google Cloud Platform, AWS, or Azure.  
Familiarity with modern AI tooling including LLM APIs (OpenAI, Anthropic), vector databases, embeddings pipelines, and orchestration frameworks such as LangChain or LlamaIndex.  
Experience implementing prompt engineering, evaluation frameworks, and monitoring approaches to ensure AI system quality and reliability.  
Ability to design and integrate systems across multiple services, databases, and third-party APIs, ensuring secure and reliable data flow.  
A patient-first mindset, with the ability to design intuitive, reliable technology that improves experiences for patients and care teams while maintaining strong standards for privacy and security.  
Strong collaboration skills and the ability to work effectively with Product, Engineering, Data, and Care teams to translate operational challenges into technical solutions.  
Curiosity, ownership, and a growth mindset, with a passion for learning new technologies and applying AI to improve healthcare outcomes.

Here's what we'd like to offer you:

Equal investment and support for our people and patients.
A fun and ambitious start-up environment with a culture that takes on big things, takes risks, and learns quickly.
The ability to demonstrate creativity, innovation, and conscientiousness, and find joy in working together.
A team of highly skilled, incredibly kind, and welcoming employees, every one of whom has something unique to offer.
We know that the overall success of our business is a collaborative effort, and we strive to provide ongoing opportunities for our employees to learn and grow, both personally and professionally.
Full-time employees are eligible to participate in our benefits package which includes Medical, Dental, Vision Insurance, Company, and Paid time off, Short- and Long-Term Disability, and more.

We are an equal opportunity and affirmative action employer. We embrace diversity and are committed to creating an inclusive environment for all employees. Applicants will be considered for employment without regard to race, religion, gender, gender identity, sexual orientation, national origin, age, disability, or veteran status.

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