4 дня назад
AI Engineer
140 310 - 171 490$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
AI Engineer (Agentic AI/Generative AI): Guiding AI engineering teams building an agentic AI framework and complex AI agent components with an accent on technical leadership, RAG architectures, model fine-tuning, and cloud-based MLOps. Focus on designing scalable production AI systems, solving complex technical problems, maintaining code quality, and mentoring engineers.
Location: Boston, Massachusetts; Flex Persona eligibility is for candidates local to the Boston office
Salary: $140,310–$171,490 per year, plus eligibility for variable pay
Company
is a healthcare organization developing AI solutions and an agentic AI framework.
What you will do
- Provide technical leadership and mentorship to AI engineering teams.
- Lead the design and implementation of AI agent components, Generative AI integrations, and supporting infrastructure.
- Collaborate with Product Owners to refine requirements, estimate work, and deliver AI features.
- Establish code review practices focused on quality, security, and maintainability.
- Resolve complex technical issues and guide production decisions involving performance, scalability, and reliability.
- Evaluate tools, libraries, and frameworks and support knowledge sharing across the team.
Requirements
- Bachelor’s degree in Computer Science, Technology, or a related field; a high school diploma or equivalent is the minimum requirement unless otherwise noted.
- 1–3+ years of hands-on experience with machine learning and deep learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- 1+ year of experience developing agentic solutions, with knowledge of AWS, Azure, or Google Cloud and MLOps tools such as Docker and Kubernetes.
- Experience designing AI agents using Retrieval Augmented Generation architectures and fine-tuning techniques.
- Experience managing the performance, scalability, and reliability of AI models in production.
- Strong communication, code review, knowledge-sharing, and technology decision-making skills.
Nice to have
- Linux or Unix scripting experience.
- Experience working across AWS, GCP, and Azure.
- Solution Architect Associate certification, preferably in GCP or AWS.
Culture & Benefits
- Paid time off and medical, dental, and vision insurance.
- 401(k) and additional well-being benefits for eligible employees.
- Support for professional development and individual career growth.
- Focus on inclusion, wellness, and work-life balance.
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