AI/ML 工程师
AI/ML Engineer
AI开发工程限定地区（需当地身份）
公司KANINI
薪资未公开
工作地点United States
地域资格限定地区（需当地身份）
时区要求日间重叠约 9 小时，基本正常作息
用工类型Contractor
发布时间4 天前
数据来源Himalayas
注意地域限制：该职位明确限定在 United States 招聘。如果你是位于中国大陆的求职者，通常需要当地工作身份才能投递，或需与雇主确认是否接受独立合同（Contractor）形式合作。
This is a remote position.
Job Summary:
·We are looking for highly skilled AI Engineers with expertise in Large Language Models (LLMs) and hands-on experience with advanced AI platforms such as Gemini 2.5, GitHub Copilot, Glean, and other generative AI tools.
·The ideal candidate will be able to design, develop, and deploy AI-powered solutions that enhance productivity, accelerate workflows, and drive innovation.
·Healthcare industry experience is a strong plus.
Key Responsibilities:
- Design and implement AI-driven solutions leveraging Gemini 2.5, Copilot, Glean, and other LLM-based platforms.
- Integrate generative AI tools into enterprise workflows to improve knowledge management, search, and automation.
- Collaborate with product, engineering, and data science teams to build scalable AI applications.
- Fine-tune and optimize AI/LLM models for specific business and healthcare use cases.
- Conduct experiments, perform benchmarking, and ensure high-quality AI deliverables.
- Ensure compliance, security, and ethical usage of AI in production.
- Stay up to date with the latest advancements in AI/LLMs, RAG, knowledge graphs, and healthcare AI trends.
Required Skills & Experience:
- Proven hands-on experience with Gemini 2.5, GitHub Copilot, Glean, or similar LLM-based tools.
- Solid understanding of LLM architectures, embeddings, and retrieval-augmented generation (RAG).
- Proficiency in Python, JavaScript/TypeScript, or similar programming languages.
- Experience with cloud platforms (AWS, Azure, GCP) and AI/ML deployments.
- Familiarity with Vector Databases (Pinecone, Weaviate, FAISS, Milvus, etc.).
- Knowledge of ML pipelines, APIs, and prompt engineering.
- Excellent problem-solving, communication, and collaboration skills.
Preferred Qualifications:
- Healthcare industry background or prior work on AI/ML healthcare projects(strong plus).
- Experience with enterprise search systems and AI-driven knowledge management tools.
- Exposure to LangChain, LlamaIndex, Hugging Face, OpenAI API, or similar frameworks.
- Hands-on with AI copilots for development, clinical data processing, or decision support.
- Strong understanding of data privacy and compliance (HIPAA, PHI handling, etc.) in healthcare.
Originally posted on Himalayas
本页面信息整理自 Himalayas，版权归原发布方所有。职位可能随时关闭，投递请以原始页面为准。
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