AI Engineer

Vaga não está no LinkedIn

🕒 4 dias atrás

🐊 Florida – Remoto

🐊 Florida – Remote

⏰ Tempo Integral

🟠 Sênior

🔴 Especialista

🤖 Engenheiro de IA

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Avalon Healthcare Solutions

SiteLinkedInTodas as Vagas

51 - 200 funcionários

Fundada em 2013

🏥 Saúde

☁️ SaaS

⚕️ Seguro de Saúde

Healthcare • SaaS • Healthcare Insurance

A Avalon Healthcare Solutions é uma empresa de tecnologia em saúde que oferece uma plataforma de Inteligência Diagnóstica e serviços de gestão de benefícios para planos de saúde, laboratórios e prestadores de serviços. Utilizando políticas baseadas em evidências, tomada de decisão em tempo real para testes, redes de laboratórios selecionadas, fluxos de trabalho automatizados e análises, a Avalon gerencia e otimiza testes diagnósticos — incluindo testes genéticos, oncologia (biópsia líquida), cardiometabólicos e exames de rotina — para reduzir desperdícios, acelerar o atendimento e melhorar os resultados. A empresa se concentra na gestão de benefícios laboratoriais, gestão de testes genéticos de precisão e análises para proporcionar economias mensuráveis e supervisão operacional para pagadores e parceiros de diagnóstico.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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