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Avalon Healthcare Solutions
Avalon Healthcare Solutions
51 – 200 Darbinieki
SaaSVeselības apdrošināšanaVeselības aprūpe
Avalon Healthcare Solutions ir veselības aprūpes tehnoloģiju uzņēmums, kas apkalpo veselības apdrošināšanas plānus, laboratorijas un veselības aprūpes pakalpojumu sniedzējus, izmantojot savu Diagnostic Intelligence platformu un pabalstu pārvaldības pakalpojumus. Uzņēmums apvieno uz pierādījumiem balstītas politikas, reāllaika lēmumu pieņemšanu par testiem, rūpīgi atlasītus laboratoriju tīklus, automatizētas darbplūsmas un analītiku, lai efektīvāk pārvaldītu diagnostiskos testus. Tā darbība aptver ģenētiskos testus, onkoloģiskos testus, tostarp šķidrās biopsijas, kardiometaboliskos testus un ikdienas laboratorijas pakalpojumus. Uzmanība tiek pievērsta nevajadzīgu izdevumu samazināšanai, labākai darbības pārraudzībai un savlaicīgas, informācijā balstītas aprūpes atbalstam. Avalon komandas strādā laboratoriju pabalstu pārvaldības, precīzijas ģenētisko testu pārvaldības un veselības aprūpes analītikas jomā, sadarbojoties ar maksātājiem un diagnostikas partneriem.
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Vakances uzņēmumā

Senior AI Engineer, Florida Remote | Avalon Healthcare Solutions

Build and lead production AI systems—including agentic workflows, retrieval-augmented generation, and automation—for Avalon Healthcare Solutions’ diagnostic intelligence platform. Help improve healthcare operations and clinical outcomes through reliable, governed AI solutions.

USAmerikas Savienotās ValstisFLFloridaAttālinātiPilna slodzeVecākais speciālistsVadošais speciālistsNepieciešamā Valoda: angļuMākslīgā intelekta inženierisMašīnmācīšanās inženieris
AirflowApacheAWSAzureDockerEC2JavaJavaScriptKafkaMākonisMikropakalpojumiNode.jsPythonRustSDLCSOAPSQLTypeScript

Apraksts

  • Develop and launch scalable AI solutions aligned with Avalon’s business goals.
  • Guide AI features and projects from initial concept through production release.
  • Assess models and technical approaches, then build dependable pipelines and integrations.
  • Coordinate AI initiatives across Product, Design, and Data teams.
  • Help shape AI strategy, technical direction, and system architecture.
  • Create agentic systems with multi-step and multi-agent workflows, tool and function calling, MCP integrations, RAG pipelines, memory, and orchestration.
  • Use prompt and context engineering to improve model reliability, accuracy, and cost efficiency.
  • Build and maintain automations that connect AI agents to enterprise systems, APIs, and data sources.
  • Set up evaluation, testing, regression, guardrail, tracing, and monitoring practices for AI systems.
  • Review code, prompts, agent configurations, and workflows.
  • Write modular, reusable application code that works with SQL and vector data sources.
  • Use established enterprise software practices and emerging AI design patterns.
  • Encourage AI-assisted development tools and ongoing improvement across engineering teams.
  • Work in line with SDLC, quality, performance, audit, security, responsible AI, and data governance standards.
  • Find ways to use AI and automation to improve health plan operations.
  • Deliver production-ready AI systems with documentation and knowledge transfer.
  • Mentor colleagues and encourage sound AI practices across the organization.

Prasības

  • A bachelor’s degree in Management Information Systems, Computer Science, or a related field, or equivalent relevant business and technical experience.
  • At least 8–10 years of application software development and implementation experience.
  • Practical experience building solutions with large language models, generative AI, and AI tools.
  • Strong skills in Python, Rust, Go, 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 using agent frameworks such as LangChain/LangGraph, LlamaIndex, or similar tools.
  • Advanced prompt and agent engineering skills, including tool use, MCP, RAG, structured outputs, and hallucination reduction.
  • Experience building workflow automations with n8n or comparable platforms such as Make, Zapier, Temporal, or Apache Airflow.
  • Experience developing applications 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 verbal communication skills.
  • Experience working in an Agile software development environment.
  • A record of delivering high-quality solutions on schedule.
  • Ability to collaborate across teams and influence technical direction.
  • Initiative, independence, analytical thinking, and problem-solving ability.
  • Accountability for building maintainable, scalable solutions.
  • Ability to mentor junior and mid-level engineers.
  • Comfort taking on informal technical leadership responsibilities.
  • Healthcare knowledge or experience is preferred.
  • Experience self-hosting and administering n8n is 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 other cloud environments and managed AI services.
  • Knowledge of or experience with HIPAA, PHI, IIHI, privacy, and healthcare security standards is preferred.

Priekšrocības

  • Eligible for remote work.
  • Quarterly travel to Avalon’s corporate office.
  • Equal opportunity employer; veterans and people with disabilities are encouraged to apply.

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