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AI Engineer

Domyn specializes in researching and developing Responsible AI for regulated industries, providing enterprises with proprietary, fully governable solutions based on composable AI architecture.
Machine Learning
Mid-Level Software Engineer
Remote
501 - 1,000 Employees
3+ years of experience
AI · Enterprise SaaS

Description For AI Engineer

Domyn, a leader in Responsible AI development for regulated industries, is seeking an AI Engineer to join their innovative team. This role focuses on implementing and scaling large language models (LLMs) and generative AI systems, bridging the gap between cutting-edge research and practical applications. The position offers an opportunity to work with one of the world's largest supercomputers (the Colosseum) and contribute to developing next-generation AI models.

The ideal candidate will have strong expertise in machine learning, particularly in implementing and optimizing AI models for production environments. You'll be working with state-of-the-art technology, including the company's proprietary LLM series (Domyn Large and Domyn Small), and contributing to solutions used by major clients like Allianz, Intesa Sanpaolo, and Fincantieri.

Key aspects of the role include developing AI infrastructure components, optimizing model performance, implementing safety measures, and ensuring responsible AI practices. You'll be part of a team that manages the entire technological AI stack from hardware to final application, focusing on control, isolation, and security across the AI lifecycle.

The position requires 3+ years of hands-on experience with machine learning models, strong Python programming skills, and expertise with ML frameworks. Knowledge of cloud platforms, containerization technologies, and software engineering best practices is essential. This remote position based in India offers an opportunity to work at the forefront of AI technology while contributing to solutions that serve regulated industries with high standards for security and governance.

Last updated 17 hours ago

Responsibilities For AI Engineer

  • Implement and optimize large language models and generative AI systems for production environments
  • Collaborate with researchers to translate research prototypes into scalable implementations
  • Design and develop AI infrastructure components for model training, fine-tuning, and inference
  • Optimize AI models for performance, latency, and resource utilization
  • Implement systems for model evaluation, monitoring, and continuous improvement
  • Develop APIs and integration points for AI services
  • Troubleshoot complex issues in AI systems
  • Contribute to development of internal tools and frameworks
  • Implement safety measures, content filtering, and responsible AI practices

Requirements For AI Engineer

Python
Kubernetes
  • Bachelor's or Master's degree in Computer Science, Engineering, or related technical field
  • 3+ years of hands-on experience implementing and optimizing machine learning models
  • Strong programming skills in Python and related ML frameworks (PyTorch, TensorFlow)
  • Experience with deploying and scaling AI models in production environments
  • Familiarity with large language models, transformer architectures, and generative AI
  • Knowledge of cloud platforms (AWS, GCP, Azure) and containerization technologies
  • Understanding of software engineering best practices
  • Experience with ML engineering tools and platforms
  • Strong problem-solving skills and attention to detail
  • Ability to collaborate effectively in cross-functional teams

Benefits For AI Engineer

  • Competitive salary
  • Performance-based bonuses
  • Comprehensive benefits package

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