AI Engineer

Avalon Healthcare Solutions

. Lead the design, development, and deployment of scalable AI-powered solutions .

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

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

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

Highest-signal resume keywords

AI-Powered Solution DevelopmentPrompt EngineeringWorkflow Automation in n8nLarge Language Model (LLM) ExperienceCross-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 SkillsOwnershipMentoring

Tools & Technologies

N8nApache KafkaAWS EC2ECS/FargateREST APIsMicroservicesAgile MethodologiesContinuous IntegrationContinuous DeploymentAutomated Testing

Industry Keywords

Healthcare KnowledgeAI SecurityResponsible AIHIPAAPHIIIHIData GovernanceQuality StandardsPerformance StandardsAudit Standards

Tech Stack

Tools & technologies

AirflowApacheAWSAzureDockerEC2JavaJavaScriptKafkaMicroservicesNode.jsPythonRustSDLCSOAPSQLTypeScript

About the role

Key responsibilities & impact

Lead the design, development, and deployment of scalable AI-powered solutions
Own complex AI features and projects from concept through production
Evaluate models and approaches, build reliable pipelines and integrations, and ensure accuracy, performance, security, maintainability, scalability, and responsible use
Lead cross-functional AI initiatives with Product, Design, Data, business, and technical teams
Contribute to AI strategy, technical direction, architecture, and architectural decisions
Develop agentic systems including multi-step and multi-agent workflows, tool and function calling, MCP servers and integrations, RAG pipelines, agent memory, and orchestration patterns
Apply prompt and context engineering, including system prompts, structured outputs, few-shot examples, prompt chaining, and prompt versioning
Build and maintain workflow automations, preferably using n8n, and integrate AI agents with enterprise systems, APIs, and data sources
Establish evaluation, testing, observability, regression testing, guardrails, tracing, and monitoring for AI systems
Participate in code, prompt, agent configuration, and workflow reviews
Develop modular, reusable application code using SQL and vector data sources
Build reusable prompt libraries, tool definitions, and workflow templates
Promote AI-assisted development tools, continuous integration, continuous deployment, automated testing, TDD, and evaluation-driven development
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
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, hallucination reduction, and reliability improvement
Experience building workflow automations in n8n or comparable platforms such as Make, Zapier, Temporal, or Apache Airflow
Experience with 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
Healthcare knowledge or experience preferred
Knowledge of AI security, safety, responsible AI, HIPAA, PHI, IIHI, privacy, and healthcare transactions preferred

Benefits

Comp & perks

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