Principal AI/ML Engineer

Job description

**Location:** Cambridge, MA (Eastern Time / UTC -4) **Relocation package available** **Relocation package:** Available **Start date:** ASAP **Languages:** English (required) ## About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are looking for a **Senior AI/ML Engineer** to join a high-performing AI engineering team building and deploying real-world AI systems used by Fortune 500 customers. You will take technical ownership of critical ML components, lead model development and productionization efforts, and work closely with AI researchers, platform engineers, and product teams to deliver scalable, production-grade AI systems. This role is intended for experienced AI/ML engineers who have already built and deployed models in production environments and want to operate at the intersection of **research-quality AI and real-world systems engineering**. ## What You’ll Do - Design, build, train, and optimize machine learning and deep learning models for production use - Lead the deployment of ML models into scalable, reliable production systems - Architect training, inference, and evaluation pipelines for structured and unstructured data - Own model performance, reliability, scalability, and lifecycle management - Drive experimentation, model iteration, and performance benchmarking - Implement and maintain high-quality ML codebases primarily in Python - Monitor, debug, and improve live production models - Collaborate with platform, backend, and infrastructure teams on system integration - Contribute to technical direction, architecture decisions, and AI roadmap planning - Mentor junior engineers and support team-level technical excellence ## What We’re Looking For - Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Mathematics, or a related field - **7+ years** of professional experience in AI/ML, data science, or applied machine learning roles - Proven experience deploying ML systems into production environments - Strong understanding of ML fundamentals, evaluation methodologies, and model lifecycle management - Deep hands-on experience with ML frameworks such as **PyTorch, TensorFlow, or scikit-learn** - Strong proficiency in **Python** - Experience designing scalable ML systems and pipelines - Ability to operate independently and take technical ownership of complex systems - Strong problem-solving, architecture, and system-design skills ## Bonus Points - Experience with **deep learning, LLMs, GenAI, or modern AI architectures** - Experience building AI systems used by enterprise or large-scale customers - Strong experience with cloud platforms (**AWS, GCP, Azure**) - MLOps experience (CI/CD for ML, model deployment, monitoring, observability) - Research background, publications, or applied AI innovation projects - Experience leading AI initiatives or mentoring ML engineers ## Why This Role Is High-Impact - Work directly with **MIT CSAIL–founded leadership** - Build AI systems deployed to **Fortune 500 customers** - Operate at the intersection of **cutting-edge AI and real-world production systems** - High ownership and influence over technical direction - Join a **well-funded, fast-growing AI startup** with strong technical ambition - Clear path toward **Staff/Principal AI Engineer or AI Architect** roles ## Benefits - Competitive salary & equity options - Sign-on bonus - Health, Dental, and Vision - 401(k)  ***Pragmatike** is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.*