What are the responsibilities and job description for the Artificial Intelligence Engineer position at Maia?
🚀 Join Maia as Our Founding AI/ML Engineer – Build AI That Transforms Healthcare Billing!
We’re Maia, an early-stage startup leveraging AI to automate healthcare billing workflows, extract insights from medical procedure notes, and streamline pre-authorization processes.
We’re looking for an AI/ML Engineer to architect, build, and scale cutting-edge NLP models that will power Maia’s core AI-driven healthcare billing automation system. This is a ground-floor opportunity where you’ll define the AI strategy, build the foundation, and grow into a leadership role as we scale.
💡 What You’ll Do
- Develop and fine-tune state-of-the-art NLP models for medical text extraction, CPT code classification, and pre-authorization automation.
- Work with leading medical AI models (ClinicalBERT, BioBERT, BlueBERT, Phi-3, OpenAI GPT, Deepseek, MiniLM L6, Azure AI) to build and maintain a robust, domain-specific AI engine.
- Design and implement scalable AI pipelines to process unstructured medical text from procedure notes, claims, and EHR data.
- Deploy and optimize models for real-time inference, ensuring low latency and high accuracy in medical billing automation.
- Integrate AI models into Maia’s backend APIs, working closely with developers to create seamless AI-powered workflows.
- Ensure model security & compliance with HIPAA, PHI data protection, and other healthcare regulations.
- Continuously fine-tune models to improve performance, handle edge cases, and reduce bias in medical AI predictions.
- Own the AI roadmap, making key decisions on architecture, training data, and MLOps practices.
🛠Tech Stack You’ll Work With
- NLP/AI Models: ClinicalBERT, BioBERT, BlueBERT, Phi-3, OpenAI (GPT), Deepseek, MiniLM L6, Azure AI
- Machine Learning Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, Scikit-learn
- Data Processing: Pandas, Spark, Dask (for large-scale medical data)
- Cloud & Deployment: Azure AI, AWS SageMaker
- MLOps: MLflow, Kubeflow, Docker, CI/CD for AI deployment
- EHR & Healthcare Data: ICD-10, CPT Codes
⚡️ What We’re Looking For
- 5 years of AI/ML experience, with a strong focus on NLP or healthcare automation.
- Proficiency in fine-tuning LLMs (ClinicalBERT, BioBERT, BlueBERT, Phi-3, OpenAI GPT, MiniLM, etc.).
- Experience deploying AI models in production, optimizing for speed, accuracy, and scalability.
- Strong knowledge of MLOps, including model retraining, monitoring, and API integration.
- Experience processing medical data (EHRs, billing codes, procedure notes) using FHIR, HL7, or structured data formats a plus..
- Familiarity with AI ethics, model bias reduction, and explainability in healthcare AI.
- Startup mindset – ability to build from scratch, iterate quickly, and adapt to changing needs.
- Based in either Berlin, Germany or Colorado (Denver Metropolitan Area or Boulder or CO Springs)
🔥 Why This Opportunity Stands Out
✔ Lead AI at an early-stage startup – You’ll be Maia’s first AI hire, defining the AI stack, leading development, and building mission-critical AI models.
✔ Healthcare AI with real-world impact – Your work will help doctors and hospitals streamline billing, cutting through bureaucratic inefficiencies.
✔ Tech & autonomy – Own the entire AI roadmap, from model selection to deployment.
✔ Growth path to AI leadership – As we scale, you’ll have the opportunity to build & lead an AI team.
Why Join Maia?
At Maia, we’re solving one of the biggest challenges in healthcare administration – making billing, reimbursement, and pre-authorization smarter, faster, and AI-driven. As our Founding AI Engineer, you’ll have the rare opportunity to build from the ground up and shape the future of AI-powered healthcare automation.
If you’re a machine learning & NLP expert looking for a high-impact role in healthcare AI, we’d love to chat.
📩 Apply now and let’s build Maia together! 🚀