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Remote Rag Jobs in Idaho (NOW HIRING)

H R PUNDITS INC

Senior AI/ML Engineer

Boise, ID · Remote

$130K/yr

Remote 10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark ... Hands-on with LLMs, RAG, and vector databases * Proficiency in Python and data frameworks (Spark ...

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What are the key skills and qualifications needed to thrive as a Remote Rag, and why are they important?

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What is a Remote RAG (Retrieval-Augmented Generation) specialist?

A Remote RAG specialist is a professional who works with Retrieval-Augmented Generation (RAG) systems, typically in the field of artificial intelligence and machine learning. RAG combines traditional information retrieval techniques with generative models like large language models to provide more accurate and contextually relevant answers to user queries. Remote RAG specialists often build, fine-tune, and maintain these systems while working from a remote location. They may also work on integrating RAG models into applications, improving retrieval accuracy, and customizing outputs based on user needs.

What are some common challenges faced by professionals working in a remote RAG (Responsible AI Governance) role?

Professionals in remote RAG roles often encounter challenges related to cross-functional collaboration and maintaining clear communication, especially when working across different time zones. Ensuring alignment on ethical AI standards and compliance requirements can be complex, as it typically involves coordinating with data scientists, legal teams, and business stakeholders. Staying current with evolving regulatory frameworks and best practices in AI governance is also essential, demanding continuous learning and adaptability. Building trust and rapport within a remote team can require extra effort, but leveraging digital collaboration tools and regular check-ins can help mitigate these challenges.
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Senior AI/ML Engineer

H R PUNDITS INC

Boise, ID • Remote

$130K/yr

Full-time

Re-posted 2 days ago

Job description

Role: Senior AI/ML Engineer (Vector Store & Retrieval Systems)
Location: Remote
10+ years in AI/ML or Data Engineering (healthcare domain preferred) to design, benchmark, and optimize text embedding and vector search solutions for large-scale clinical data. This role focuses on building high-performance pipelines and evaluating AI models to support intelligent search across patient records.
Key Responsibilities:
  • Develop and benchmark text chunking and embedding strategies
  • Evaluate embedding models (OpenAI, Cohere, SBERT, etc.)
  • Design and optimize vector search systems
  • Build scalable pipelines for large datasets (up to billions of documents)
  • Measure performance across cost, speed, scalability, and accuracy
  • Support near real-time indexing and high query workloads
  • Ensure compliance with PHI/HIPAA and enterprise security standards

Required Skills:
  • Strong experience in AI/ML and NLP (embeddings, transformers)
  • Hands-on with LLMs, RAG, and vector databases
  • Proficiency in Python and data frameworks (Spark/Databricks)
  • Experience with cloud platforms (Azure/AWS/GCP)
  • Knowledge of distributed systems and high-throughput pipelines
Understanding of healthcare data and PHI compliance

This is a remote position.