AI Engineer

This is a fully remote position, open to applicants in Florida.

📋 Description

• Design, develop, and implement scalable AI-driven solutions that align with Avalon’s business goals.

• Oversee AI features and projects from initial concept to full production.

• Assess models and methodologies, creating dependable pipelines and integrations.

• Direct cross-departmental AI initiatives in collaboration with Product, Design, and Data teams.

• Contribute to the AI strategy, providing technical direction and architectural guidance.

• Construct agentic systems, incorporating multi-step and multi-agent workflows, tool/function calling, MCP integrations, RAG pipelines, memory, and orchestration patterns.

• Employ prompt and context engineering techniques to enhance model reliability, accuracy, and cost efficiency.

• Design and sustain workflow automations that link AI agents with enterprise systems, APIs, and data sources.

• Implement evaluation, testing, regression, guardrail, tracing, and monitoring protocols for AI systems.

• Engage in code, prompt, agent configuration, and workflow evaluations.

• Develop modular, reusable application code utilizing SQL and vector data sources.

• Leverage enterprise software and emerging AI design patterns.

• Advocate for AI-assisted development tools and foster continuous improvement across engineering teams.

• Adhere to SDLC, quality, performance, audit, security, responsible AI, and data governance standards.

• Identify avenues where AI and automation can enhance health plan operations.

• Deliver production-ready AI solutions accompanied by documentation and knowledge transfer.

• Mentor team members and promote AI best practices throughout the organization.

⛳️ Requirements

• Bachelor’s Degree in Management Information Systems, Computer Science, or a related field; or equivalent relevant business and technical experience.

• At least 8 to 10 years of experience in application software development and implementation.

• Practical experience in developing solutions using large language models (LLMs), generative AI, and AI tooling.

• High level of proficiency in Python, Rust, GoLang, and Node.js/TypeScript.

• Familiarity with Java and the JVM ecosystem.

• Experience with LLM APIs and SDKs such as Anthropic, OpenAI, Azure OpenAI, or AWS Bedrock.

• Proficient with agent frameworks like LangChain/LangGraph, LlamaIndex, or similar tools.

• Expertise in prompt engineering and agentic engineering, including tool utilization, MCP, RAG, structured outputs, and techniques for reducing hallucination.

• Background in creating workflow automations using n8n or similar platforms such as Make, Zapier, Temporal, or Apache Airflow.

• Experience in developing applications with Docker, AWS EC2, ECS/Fargate, and Apache Kafka.

• Knowledge of vector databases and embedding stores like pgvector, OpenSearch, or Pinecone.

• Familiarity with REST, webhooks, event-driven architecture, APIs, microservices, SOA, SOAP/WSDL/XML, and SAML.

• Strong written and verbal communication abilities.

• Experience working within an Agile software development framework.

• Proven track record of delivering high-quality solutions on schedule.

• Ability to collaborate across functions and influence technical direction.

• Initiative, independence, and strong analytical problem-solving skills.

• Responsibility and accountability for maintainable, scalable solutions.

• Capability to mentor junior and mid-level engineers.

• Willingness to assume informal technical leadership roles.

• Preferred knowledge or experience in healthcare.

• Experience with self-hosting and administering n8n is a plus.

• Familiarity with building and assessing RAG systems, embeddings, and model evaluation pipelines.

• Knowledge of AI security, safety measures, guardrails, prompt injection mitigation, and responsible AI practices.

• Experience with AWS or cloud-based platforms and managed AI services.

• Knowledge or experience with HIPAA, PHI, IIHI, privacy, and healthcare security standards is preferred.

🏝️ Benefits

• Eligibility for remote work.

• Quarterly travel to Avalon’s corporate office.

• Equal Opportunity Employer - Veteran/Disability.