About the job

Location: On-site — Cambridge, MA (Eastern Time / UTC -4)
Start date: ASAP
Languages: English (required)

We are hiring at Pragmatike to expand our team and drive the growth of our internal projects.

Our focus is on developing cutting-edge solutions in Cloud Computing, Blockchain, and Artificial Intelligence, while fostering a culture of collaboration and innovation. Joining us means being part of a passionate team where your ideas and skills directly contribute to shaping tomorrow's technologies.

If you're passionate about applied AI and enjoy solving real problems in a fast-paced environment, we’d love to meet you.

Responsabilities:

• Design, implement, and fine-tune machine learning models for production-grade use cases.

• Curate and manage datasets used in training, validation, and evaluation.

• Work closely with engineers to integrate ML models into larger systems and monitor their performance in production.

• Ensure that AI solutions are efficient, maintainable, and aligned with business objectives.

• Maintain thorough documentation for reproducibility and team collaboration.

Required qualifications:

• Solid hands-on experience with AI/ML systems from development to deployment.

• Proficient in Python; familiarity with TypeScript or Go for integration tasks is a plus.

• Strong command of tools and frameworks such as PyTorch, Transformers, Llama-factory, VLLM, Megatron-LM, and CUDA.

• Comfortable working with cloud environments (AWS, GCP, or Azure) and containerized deployments (Docker, Kubernetes).

• Strong communication and team collaboration skills.
  
  

Preferred qualifications:

• Experience deploying models at scale in production environments.

• Familiarity with CI/CD and DevOps workflows for ML applications.

• Previous experience in high-paced, innovation-driven environments (e.g., startups).

• Background in systems-level optimization for machine learning workloads.

Why join us?

• Work on impactful AI systems with real-world applications.

• Join a focused, collaborative engineering team based in Boston/Cambridge.

• Be part of a company where your ideas and code go into production—not just into slide decks.

• Competitive salary, equity options, and strong benefits.

• Continuous learning environment with room to grow technically and professionally.