AI Engineer

Job not on LinkedIn

🕒 October 10

🐊 Florida – Remote

🐊 Florida – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 AI Engineer

👻 Ghost score 11%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Avalon Healthcare Solutions

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2013

🏥 Healthcare

☁️ SaaS

⚕️ Healthcare Insurance

Healthcare • SaaS • Healthcare Insurance

Avalon Healthcare Solutions is a healthcare technology company that provides a Diagnostic Intelligence platform and benefit-management services to health plans, labs, and providers. Using evidence-based policies, real-time test decisioning, curated lab networks, automated workflows, and analytics, Avalon manages and optimizes diagnostic testing — including genetic testing, oncology (liquid biopsy), cardiometabolic, and routine labs — to reduce waste, speed care, and improve outcomes. The company focuses on lab benefit management, precision genetic test management, and analytics to deliver measurable savings and operational oversight for payers and diagnostic partners.

📋 Description

• Design, develop, and deploy scalable AI-powered solutions supporting Avalon’s business objectives • Lead AI features and projects from concept through production • Evaluate models and approaches and build reliable pipelines and integrations • Lead cross-functional AI initiatives with Product, Design, and Data teams • Contribute to AI strategy, technical direction, and architectural decisions • Build agentic systems, including multi-step and multi-agent workflows, tool/function calling, MCP integrations, RAG pipelines, memory, and orchestration patterns • Apply prompt and context engineering practices to improve model reliability, accuracy, and cost-effectiveness • Design and maintain workflow automations integrating AI agents with enterprise systems, APIs, and data sources • Establish evaluation, testing, regression, guardrail, tracing, and monitoring practices for AI systems • Participate in code, prompt, agent configuration, and workflow reviews • Develop modular, reusable application code using SQL and vector data sources • Apply enterprise software and emerging AI design patterns • Promote AI-assisted development tools and continuous improvement across engineering teams • Follow SDLC, quality, performance, audit, security, responsible AI, and data governance standards • Identify opportunities where AI and automation can improve health plan operations • Deliver production-ready AI solutions with documentation and knowledge transfer • Mentor employees and promote AI best practices across the organization

🎯 Requirements

• Bachelor’s Degree in Management Information Systems, Computer Science, or related discipline; or equivalent years of relevant business and technical experience • Minimum of 8 to 10 years of experience in application software development and implementation • Hands-on experience building solutions with large language models (LLMs), generative AI, and AI tooling • Strong proficiency in Python, Rust, GoLang, and Node.js/TypeScript • Working knowledge of Java and the JVM ecosystem • Experience with LLM APIs and SDKs such as Anthropic, OpenAI, Azure OpenAI, or AWS Bedrock • Experience with agent frameworks such as LangChain/LangGraph, LlamaIndex, or comparable tooling • Expertise in prompt engineering and agentic engineering, including tool use, MCP, RAG, structured outputs, and hallucination-reduction techniques • Experience building workflow automations in n8n or comparable platforms such as Make, Zapier, Temporal, or Apache Airflow • Experience developing applications using Docker, AWS EC2, ECS/Fargate, and Apache Kafka • Experience with vector databases and embedding stores such as pgvector, OpenSearch, or Pinecone • Experience with REST, webhooks, event-driven architecture, APIs, microservices, SOA, SOAP/WSDL/XML, and SAML • Strong written and oral communication skills • History of working in an Agile software development environment • Proven success delivering high-quality solutions on time • Ability to collaborate cross-functionally and influence technical direction • Initiative, autonomy, analytical and problem-solving skills • Ownership and accountability for maintainable, scalable solutions • Ability to mentor junior and mid-level engineers • Comfortable stepping into informal technical leadership roles • Healthcare knowledge or experience preferred • Experience self-hosting and administering n8n preferred • Experience building and evaluating RAG systems, embeddings, and model evaluation pipelines • Knowledge of AI security, safety, guardrails, prompt injection mitigation, and responsible AI principles • Experience with AWS or cloud-based environments and managed AI services • Knowledge or experience with HIPAA, PHI, IIHI, privacy, and healthcare security standards preferred

🏖️ Benefits

• Remote work eligibility • Quarterly travel to Avalon’s corporate office • Equal Opportunity Employer - Vet/Disability

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