Modicus Prime · 1 day ago
AI Engineer
Austin, TX
Full-time
Hybrid
Mid Level
3+ years expModicus Prime is improving the quality of pharmaceutical drug manufacturing by leveraging AI and advanced analytics. They are seeking an AI Engineer to develop, validate, and deploy AI/ML solutions for pharmaceutical manufacturing applications, ensuring compliance with regulatory requirements.
Artificial Intelligence (AI)Biopharma
No H1B
Hiring Manager
Taylor Chartier
Responsibilities
Responsible for developing, validating, and deploying AI/ML solutions including large language models, vision models, and multi-modal systems for pharmaceutical manufacturing applications
Designs and implements agentic AI systems while ensuring compliance with regulatory requirements for GxP-regulated environments
Collaborates closely with platform engineering and cross-functional teams to deliver production-ready AI solutions with comprehensive observability and validation
Design and implement LLM-based solutions with proper observability using Langfuse for monitoring and evaluation
Develop and deploy vision models and multi-modal AI systems for pharmaceutical applications
Write clean, maintainable Python code with type hints following engineering best practices
Implement AI model validation protocols that meet pharmaceutical regulatory requirements (21 CFR Part 11, GxP)
Develop production-ready models using PyTorch with attention to performance, reproducibility, and maintainability
Create robust data processing pipelines using NumPy and related scientific computing libraries
Integrate AI models into CI/CD pipelines with automated linting, formatting, and security requirements
Implement comprehensive metrics and monitoring for AI model performance, drift detection, and quality assurance
Collaborate with platform engineering teams to ensure seamless deployment across multi-cloud Kubernetes environments
Manage project workflows and documentation using Jira and other collaboration tools
Qualification
Required
Design and implement LLM-based solutions with proper observability using Langfuse for monitoring and evaluation
Develop and deploy vision models and multi-modal AI systems for pharmaceutical applications
Write clean, maintainable Python code with type hints following engineering best practices
Implement AI model validation protocols that meet pharmaceutical regulatory requirements (21 CFR Part 11, GxP)
Develop production-ready models using PyTorch with attention to performance, reproducibility, and maintainability
Create robust data processing pipelines using NumPy and related scientific computing libraries
Integrate AI models into CI/CD pipelines with automated linting, formatting, and security requirements
Implement comprehensive metrics and monitoring for AI model performance, drift detection, and quality assurance
Collaborate with platform engineering teams to ensure seamless deployment across multi-cloud Kubernetes environments
Manage project workflows and documentation using Jira and other collaboration tools
Bachelor's degree in computational science, computer science, machine learning, mathematics, or equivalent combination of education and relevant professional experience
3+ years of experience in AI/ML engineering, data science, or related roles
Strong hands-on experience with large language models (LLMs) and prompt engineering
Practical experience developing and deploying vision models or computer vision applications
Proficiency with PyTorch for model development and training
Strong foundation in NumPy and scientific Python ecosystem
Experience with AI observability and monitoring tools (Langfuse strongly preferred)
Python with type hints for production-grade code
Understanding of CI/CD principles and automated testing for ML systems
Familiarity with containerization and Kubernetes concepts
Strong collaborative skills and enjoyment of cross-functional work with engineering teams
Preferred
Advanced degree (Master's or PhD) in a related field is a plus
Understanding of GxP regulations, 21 CFR Part 11, or pharmaceutical quality systems
Experience with regulated industries (pharmaceutical, medical device, biotechnology)
Background in AI validation, model documentation, and compliance frameworks
Familiarity with model deployment on Kubernetes and cloud platforms
Experience with experiment tracking and model versioning tools
Knowledge of statistical validation methods and uncertainty quantification
Benefits
Flexible work schedule
Comprehensive medical, dental, and vision coverage
401(k) retirement plan
Company
Modicus Prime
Modicus Prime enables pharmaceutical manufacturers to deploy AI systems that are auditable and compliant by design.
11-50 employees
Funding
Current Stage
Early StageTotal Funding
$4.7MKey Investors
Silverton PartnersGranatus VenturesSmartGateVC
2024-07-15Seed· $3.5M
2024-02-07Seed
2022-12-08Pre Seed· $1.2M
Leadership Team
Taylor Chartier
Chief Executive Officer
Recent News
2025-05-06
Triple S Ventures
2025-05-06
2025-02-10
Company data provided by crunchbase