Senior AI Context Engineer

🔥 46 minutes ago

🐻 Alaska, California, +11 more states – Remote

🐻 Alaska – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🌺 Hawaii – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🗽 New York – Remote 🌲 Oregon – Remote 🔔 Pennsylvania – Remote 🍁 Vermont – Remote ☕ Washington – Remote 🦬 Wyoming – Remote

💵 $124.7k - $157.7k / year

⏰ Full Time

🟠 Senior

🤖 Artificial Intelligence

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GEHA Health

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1937

🏥 Healthcare

🛡️ Insurance

⚕️ Healthcare Insurance

Healthcare • Insurance • Healthcare Insurance

GEHA Health is a large benefits association dedicated to serving federal employees, retirees, and their families. Founded by postal workers in 1937, GEHA offers a comprehensive range of health and dental plans, including FEHB and PSHB options, as well as additional benefits such as gym memberships, vision benefits, and wellness rewards. With a network of 1. 7 million providers nationwide and extensive prescription drug coverage, GEHA prioritizes reinvesting profits to enhance member experiences and support federal workforce health. Their plans include Medicare Advantage options and a robust telehealth offering, ensuring their members receive the best possible care and coverage.

📋 Description

• Build and refine structured and unstructured information parsing, layout-processing, and chunking workflows for PDFs, clinical notes, data, and policy documents • Implement hybrid search mechanics, metadata routing, and reranking logic to improve retrieval precision and minimize model hallucinations • Design context payload specifications and metadata structures for Model Context Protocol servers and LLM orchestration tools • Recommend and implement vector indexing strategies, embedding schemes, and semantic query designs in enterprise vector stores • Design and manage metadata tagging schemes for filtering, hybrid search, and domain-specific context retrieval • Establish automated evaluation frameworks for retrieval relevance, context quality, groundedness, and embedding drift • Ensure document processing and contextual payloads comply with HIPAA and HITRUST standards • Implement masking and tokenization for Protected Health Information • Enforce role-based access control within vector metadata • Maintain context tracking and audit logs for prompt payloads and data hand-offs • Align implementations with reference architectures, CI/CD templates, and golden paths • Collaborate with the Sr. AI Solutions Architect, AI Product Owner, AI Full Stack Developers, Data & Analytics, Digital Innovation, enterprise applications, and IT teams • Supply high-accuracy context layers for upcoming GenAI features

🎯 Requirements

• 5+ years of experience in backend software engineering, applied machine learning/search, or data-centric application development • 1–2 years of hands-on experience specifically optimizing AI and RAG architectures, prompt context strategies, and vector retrieval pipelines for LLM applications • Advanced proficiency in Python and SQL • Familiarity with orchestration tools such as Airflow, Prefect, or Temporal • Deep experience using parsing frameworks such as LlamaIndex, Unstructured.io, or LangChain document loaders • Hands-on experience with vector databases, embeddings, and semantic search platforms such as Pinecone, pgvector, Weaviate, Qdrant, or Azure AI Search • Familiarity with RAG and LLM context evaluation frameworks such as Ragas, TruLens, or Arize Phoenix • Practical experience handling sensitive healthcare data (PHI/PII) within high-compliance software environments • Ability to provide non-cellular high-speed internet service for a home office • Minimum internet speed of 30 Mbps download and 5 Mbps upload • Latency response time lower than 80 ms • Hotspots, satellite, and wireless internet service are not allowed • Dedicated space without ongoing interruptions to protect member PHI/HIPAA information

🏖️ Benefits

• Competitive pay/salary ranges • Incentive plan • Health/Vision/Dental benefits effective day one • 401(k) retirement plan: company match – dollar for dollar up to 4% employee contribution (pretax or Roth options) plus a 6% annual company contribution • Robust employee well-being program • Paid Time Off • Personal Community Enrichment Time • Company-provided Basic Life and AD&D • Company-provided Short-Term & Long-Term Disability • Tuition Assistance Program • Work-from-home options

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