What are the responsibilities and job description for the Artificial Intelligence Engineer position at eino.ai?
Job Title: Senior ML/AI Engineer
Company: eino.ai
Location: New York City, NY
Employment Type: Full-time
eino.ai has an opening for a highly skilled and experienced Senior ML/AI Engineer who excels in working with Large Language Models (LLMs). The ideal candidate will understand the balance between building for immediate needs and enabling future scalability. You will be responsible for creating AI pipelines on AWS, including AWS Bedrock, developing knowledge-based systems, training and optimizing models, and performing prompt engineering. Startup experience and a strong academic background in Computer Science are essential.
Responsibilities and Duties:
- Design, develop, and maintain AI pipelines on AWS for LLaMA and other LLMs.
- Utilize AWS Bedrock for scalable AI solutions.
- Create and manage knowledge-based systems to enhance AI capabilities.
- Train, fine-tune, and optimize LLMs for various applications.
- Perform prompt engineering to improve model performance and user interactions.
- Collaborate with cross-functional teams to integrate AI solutions into products.
- Conduct research and stay updated with the latest advancements in AI and machine learning.
- Troubleshoot and resolve issues related to AI models and pipelines.
- Document processes, experiments, and results for future reference.
Qualifications and Skills:
- M.S. or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
- Proven experience working with Large Language Models (LLMs) such as LLaMA.
- Strong expertise in AWS services, including AWS Bedrock, and building scalable AI pipelines.
- Proficiency in programming languages such as Python, and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch).
- Experience in prompt engineering and optimizing AI models.
- Previous experience working in a startup environment is highly desirable.
- Excellent problem-solving skills and the ability to work independently and as part of a team.
- Strong communication skills and the ability to convey complex technical concepts to non-technical stakeholders.
Preferred Qualifications:
- Experience with predictive models and optimization algorithms.
- Experience with backend architecture in a startup setting.
- Familiarity with MLOps practices and tools.
- Contributions to open-source AI projects.
Perks:
- Building innovative solutions for real-world problems.
- Being part of a growing company with a strong foundation.
- Educational support to grow personally, professionally, and technically.
About eino.ai: eino.ai is a platform for lifecycle management of wireless networks and edge devices leveraging 3D Digital Twins and AI. We’re enabling planning and validation for any wireless network globally—faster and more cost-effectively than any current solution.
