Senior AI/ML Engineer

Key Responsibilities

• ML/AI Adoption. Deploy ML and GenAI technologies for workflow automation and optimization. Engage in practical R&D across topics including Retrieval-Augmented Generation (RAG), LLM pipelines, LLM fine-tuning, and evaluation of LLM-based applications.
• AI & Machine Learning System Design. Design and scale AI components using AWS services (like Bedrock, SageMaker) and open-source standards and frameworks.
• AI & Machine Learning Engineering & MLOps. Fine-tune custom LLMs for workflow automation and enhanced decision support. Build and deploy training, evaluation, and inference pipelines. Apply MLOps best practices.
• "Swiss Army Knife" Engineering. During those occasional "all hands on deck" moments, jump in to support the team with backend/frontend development, infrastructure, or data pipelines as needed. Be able to quickly prototype functional solutions for demos and proof-of-concepts.
• Cross-Functional Collaboration & Thought Leadership. Collaborate with data scientists, engineers, and lab experts to design and improve AI solutions. Champion ethical and compliant AI practices aligned with healthcare and life sciences regulations. Maintain client-facing responsibilities with the ability to own processes and adapt to changing requirements.

Qualifications:

Required Experience:
• 5+ years in software development with a strong focus on AI/ML.
• Deep expertise in Python, SQL, and frameworks like PyTorch/TensorFlow.
• Proven hands-on experience in Generative AI systems and their evaluation, plus RAG optimization.
• 3+ years deploying machine learning models in production in cloud environments (AWS preferred, but not required).
• Strong grasp of MLOps, scalability, and cloud (AWS) best practices.
• A builder mindset that is able to switch between fast prototyping and production-grade development.


Preferred Qualifications:
• Experience working with LIMS/LES systems and lab automation tools.
• Familiarity with healthcare and life sciences regulatory requirements (e.g., HIPAA, GxP).
• Background in designing secure and compliant AI solutions for regulated environments.

What We Offer:

• Remote-first work environment with flexible scheduling.
• Opportunity to contribute to high-stakes projects for mid-sized and large corporations.
• Collaborative culture that values innovation, curiosity, and continuous learning.
• Professional development support.
• Comprehensive benefits, including health, dental, vision, 401(k) with company match, and unlimited PTO.
• Diverse professional network across industries and technology domains.