Original listing text, shown exactly as published by the company.
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
