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Curative AI

Principal AI Engineer

Curative AI, Bellevue, Washington, us, 98009

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About Curative AI, Inc. Curative AI, Inc. is an ambitious innovative early‑stage startup revolutionizing the healthcare industry through cutting‑edge AI‑powered SaaS solutions. We are currently delivering exceptional value to our customers in Revenue Cycle Management (RCM) and Clinical Operations, empowering them with industry‑transforming AI technology, intelligent automation, and deep data insights. Unlike most tech startups, we have achieved financial break‑even within our first year, with signed customer contracts for $30+ M in 2025 projected revenues through our AI healthcare solutions deliveries. Headquartered in Bellevue/Seattle, we have built a sizable top‑notch tech team in the US, and a large talented offshore team. We now enter a rapid growth phase, hiring aggressively to scale the US‑based team to 100+ employees in 2025. Our vision is bold: to achieve a valuation of over $1 billion within the next 18 months by continuing to deliver exceptional solutions and expanding our market presence.

The Opportunity Curative AI, Inc. is seeking a highly skilled and experienced Principal AI Engineer for our rapidly growing company. Our cutting‑edge SaaS AI‑driven solutions will transform healthcare management, leading with RCM solutions for streamlined documentation, faster claims processing, enhanced clinical decision support, and much more. As a Senior AI Engineer, you’ll play a crucial role in developing and implementing innovative AI solutions that address critical challenges in healthcare. You’ll work closely with other AI engineers, software engineers, and domain experts to design, build, and deploy machine learning models that improve patient outcomes, streamline healthcare processes, and ultimately, transform the way healthcare is delivered. You are humble, a dedicated team player, and excited for the road ahead. Come work with a CEO renowned in the AI field with a proven record of building high‑performing teams, fostering career growth, and creating a positive work culture. Let’s make healthcare smarter together.

Responsibilities

Lead a team of AI engineers and analysts

Define and execute data science and AI strategies aligned with business objectives

Design, develop, and implement AI and machine learning models using statistical analysis and deep learning algorithms

Collect, clean, pre‑process, and analyze large and complex datasets from various sources

Design and conduct experiments to validate and improve data‑driven solutions

Deploy and maintain AI models in production environments, ensuring scalability and reliability

Integrate AI solutions with existing systems and applications

Monitor model performance metrics and implement improvements as needed

Collaborate with cross‑functional teams to translate business needs into actionable insights

Communicate insights and recommendations to stakeholders in a clear and concise manner

Stay current with the latest advancements in AI and data science research and best practices

Mentor and guide junior data scientists, AI engineers, and analysts

Identify and evangelize new AI and data science opportunities within the organization

Qualifications

You must currently be located in the Seattle Metro Region and able to work hybrid on‑site a minimum of three days at our Bellevue location

PhD or Master’s degree in Data Science, Artificial Intelligence, Computer Science, Statistics, Mathematics, or a related field highly desired

8+ years of experience in designing, developing, and deploying machine learning models and data science solutions

Deep expertise in artificial intelligence (AI) technologies and applications; Natural Language Processing (NLP) and/or Large Language Models (LLM) highly desired

Excellent understanding of statistical methods, machine learning algorithms, and AI principles (e.g., supervised learning, unsupervised learning, reinforcement learning)

Strong programming skills in Python or other relevant programming languages

Experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit‑learn

Experience with data analysis tools and techniques (e.g., Pandas, NumPy)

Strong problem‑solving and analytical skills

Experience with distributed computing platforms such as Spark and Hadoop (a plus)

Health care experience, notably experience with RCM solutions, highly desired

Public cloud experience (AWS, GCP, and/or Azure) desired

Experience with machine learning fairness and bias mitigation techniques desired

Strong communication and collaboration skills

Compensation and Benefits

Base Salary Range:

$175,000 - $220,000 per year (commensurate with experience and qualifications)

Target Annual Performance Bonus

Equity Package: Generous equity participation in the company's future success

Comprehensive benefits package including medical, dental, vision, Life and AD&D insurance. Paid time off and holidays

Opportunity to work on cutting‑edge AI projects and make an impact on the company's success

Chance to make a real impact on the company’s AI strategy and innovation

Curative AI, Inc. is an Equal Opportunity Employer (EEO) and does not discriminate on the basis of race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), national origin, political affiliation, disability, genetic information (including family medical history), age, marital status, veteran status, or other non‑merit‑based factors. Curative AI, Inc. does not currently sponsor H1B visas and therefore candidates must be legally authorized to work for any employer in the United States on a full‑time basis and not require current or future visa sponsorship for employment. Curative AI, Inc. is committed to creating a diverse and inclusive workforce. We value the unique perspectives and talents that each individual brings to our company, and we are committed to providing an environment where all employees feel respected, valued, and empowered to reach their full potential. We encourage qualified individuals from all backgrounds to apply for our open positions.

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