AI Engineer

Avalon Healthcare Solutions

. Design, develop, and deploy scalable AI-powered solutions supporting Avalon’s business objectives .

Posted 10/10/2026full-timeRemote • Florida • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and deploying AI-powered solutions, with a strong focus on prompt engineering, workflow automation, and integration of AI systems with enterprise applications. Proven ability to lead cross-functional teams and mentor engineers while adhering to industry standards and best practices.

Highest-signal resume keywords

AI-Powered Solution DevelopmentPrompt EngineeringWorkflow AutomationLarge Language Models (LLMs)Cross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonRustGoLangNode.jsTypeScriptLLM APIsAgent FrameworksDockerSQLVector Databases

Soft Skills

Strong Communication SkillsAnalytical SkillsProblem-Solving SkillsInitiativeAutonomy

Tools & Technologies

N8nApache AirflowAWS EC2ECS/FargateApache KafkaMakeZapierREST APIsMicroservicesEvent-Driven Architecture

Industry Keywords

Healthcare KnowledgeHIPAAPHIIIHIResponsible AI PrinciplesAI SecurityData GovernanceAgile Software DevelopmentQuality StandardsPerformance Standards

Tech Stack

Tools & technologies

AirflowApacheAWSAzureCloudDockerEC2JavaJavaScriptKafkaMicroservicesNode.jsPythonRustSDLCSOAPSQLTypeScript

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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