Senior AI Applied Engineer — Full‑Stack LLM Systems

Humana; Tampa (FL); Ibrido; USD 118.000 - 162.000; Tempo pieno

Vantaggi offerti da questo lavoro

Bonus incentive plan

Hybrid work schedule

Descrizione del lavoro

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale within one of the largest health insurers in the United States. You will own end-to-end solutions, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations.

The role emphasizes building AI-powered applications, integrating LLMs, and delivering reliable, auditable systems in a regulated healthcare environment.

Competenze

• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related field.
• 5+ years of experience building and operating production software systems.
• Experience developing backend services, APIs, and data-intensive applications.
• Hands-on experience integrating LLMs into production applications beyond simple chat interfaces, including structured outputs, tool calling, retrieval-augmented generation (RAG), agents, or multi-step workflows.
• Experience with at least one major AI platform or model provider such as OpenAI, Anthropic, Google, Azure AI, or AWS Bedrock.
• Strong programming skills in Python and/or TypeScript/JavaScript.
• Ability to work independently, navigate ambiguity, and take ownership of projects from concept through deployment.

Mansioni

• Design, develop, and deploy full-stack AI-powered applications, including frontend experiences, APIs, backend services, and data pipelines.
• Build and optimize LLM-based workflows for information extraction, classification, retrieval, summarization, and agentic processes.
• Develop robust prompt strategies, structured output frameworks, tool-calling capabilities, and fallback mechanisms to improve reliability.
• Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies.
• Build evaluation frameworks, including benchmark datasets, regression testing, quality metrics, and human review workflows.
• Develop human-in-the-loop processes that enable clinicians and domain experts to validate AI outputs and provide feedback for continuous improvement.
• Build and maintain document-processing pipelines, including OCR, document ingestion, metadata extraction, indexing, and search capabilities.
• Optimize AI systems for accuracy, latency, reliability, scalability, and cost efficiency.
• Implement observability, monitoring, logging, alerting, and incident response processes for production systems.
• Deploy and operate services in cloud-native environments using Kubernetes, Docker, CI/CD pipelines, and modern infrastructure tooling.
• Collaborate with product, engineering, clinical, and operational stakeholders to translate complex business requirements into scalable solutions.
• Ensure solutions meet privacy, security, compliance, and auditability requirements within a regulated healthcare environment.

Conoscenze

Python

TypeScript/JavaScript

LLM integration

Kubernetes

React

Formazione

Bachelor's degree in Computer Science or related

Strumenti

Docker

PostgreSQL

Cloud platforms (AWS/Azure/GCP)

CI/CD pipelines

Descrizione del lavoro

Humana is seeking a Senior AI Applied Engineer to design, build, deploy, and operate production AI systems at scale within one of the largest health insurers in the United States. You will own end-to-end solutions, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations.

The role emphasizes building AI-powered applications, integrating LLMs, and delivering reliable, auditable systems in a regulated healthcare environment.