Senior AI Context Engineer

This is a fully remote position, open to applicants in Alaska, +12 more states.

📋 Description

• Develop and enhance workflows for parsing structured and unstructured information, processing layouts, and chunking for PDFs, clinical notes, data, and policy documents.

• Apply hybrid search mechanics, metadata routing, and reranking strategies to enhance retrieval accuracy and reduce model hallucinations.

• Create context payload specifications and metadata frameworks for Model Context Protocol servers and LLM orchestration tools.

• Suggest and execute vector indexing techniques, embedding methodologies, and semantic query designs within enterprise vector repositories.

• Design and oversee metadata tagging systems for filtering, hybrid search, and domain-specific context retrieval.

• Develop automated evaluation frameworks to assess retrieval relevance, context quality, groundedness, and embedding drift.

• Ensure document processing and contextual payloads adhere to HIPAA and HITRUST regulations.

• Implement masking and tokenization methods for Protected Health Information.

• Enforce role-based access control for vector metadata.

• Maintain context tracking and audit logs for prompt payloads and data transfers.

• Align implementations with reference architectures, CI/CD frameworks, and established best practices.

• Collaborate with the Sr. AI Solutions Architect, AI Product Owner, AI Full Stack Developers, Data & Analytics, Digital Innovation, enterprise applications, and IT teams.

• Provide high-accuracy context layers for forthcoming GenAI features.

⛳️ Requirements

• Over 5 years of experience in backend software engineering, applied machine learning/search, or data-focused application development.

• 1 to 2 years of practical experience specifically in optimizing AI and RAG architectures, prompt context strategies, and vector retrieval pipelines for LLM applications.

• Advanced expertise in Python and SQL.

• Familiarity with orchestration tools like Airflow, Prefect, or Temporal.

• Extensive experience with 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.

• Knowledge of RAG and LLM context evaluation frameworks such as Ragas, TruLens, or Arize Phoenix.

• Practical experience managing sensitive healthcare data (PHI/PII) in high-compliance software environments.

• Ability to provide non-cellular high-speed internet service for a home office.

• Minimum internet speed of 30 Mbps for downloads and 5 Mbps for uploads.

• Latency response time must be below 80 ms.

• Hotspots, satellite, and wireless internet services are not permitted.

• A dedicated workspace free from ongoing interruptions to safeguard member PHI/HIPAA information.

🏝️ Benefits

• Competitive pay/salary ranges.

• Incentive plan.

• Health, Vision, and Dental benefits effective from day one.

• 401(k) retirement plan with a company match of dollar for dollar up to 4% of employee contribution (with pretax or Roth options) plus an annual company contribution of 6%.

• Comprehensive employee well-being program.

• Paid Time Off.

• Personal Community Enrichment Time.

• Company-provided Basic Life and AD&D insurance.

• Company-provided Short-Term and Long-Term Disability coverage.

• Tuition Assistance Program.

• Options for remote work.