About the job
Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package available
Relocation package: Available
Start date: ASAP
Languages: English (required)
About the Role
Pragmatike is seeking a highly skilled Principal AI/ML Engineer to join a rapidly growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by researchers from MIT CSAIL.
In this pivotal role, you will become an integral part of our elite AI engineering team, responsible for architecting, developing, and deploying advanced AI systems utilized by Fortune 500 clients. Your technical expertise will drive the development of essential ML components while collaborating closely with AI researchers, platform engineers, and product teams to ensure the delivery of scalable, production-ready AI solutions.
This position is tailored for seasoned AI/ML engineers with a proven track record of building and deploying models in production settings, eager to work at the nexus of research-grade AI and practical systems engineering.
Key Responsibilities
Design, construct, train, and refine machine learning and deep learning models for production deployment
Lead the successful deployment of ML models into robust, scalable production environments
Architect training, inference, and evaluation pipelines for both structured and unstructured datasets
Own the performance, reliability, scalability, and lifecycle management of ML models
Drive experimentation, model iteration, and performance benchmarking initiatives
Implement and uphold high-quality ML codebases primarily in Python
Monitor, troubleshoot, and enhance live production models
Collaborate with platform, backend, and infrastructure teams to ensure seamless system integration
Contribute to technical direction, architecture decisions, and AI roadmap strategies
Mentor junior engineers and foster a culture of technical excellence within the team
Desired Qualifications
Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related discipline
7+ years of relevant professional experience in AI/ML, data science, or applied machine learning roles
Demonstrated experience in deploying ML systems in production environments
Strong proficiency in Python and familiarity with machine learning frameworks
Excellent problem-solving skills and a passion for innovation in AI

