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About the Role

We build the platform that transforms millions of clinical documents into trusted, actionable data. Our systems use large language models (LLMs) to read medical records, extract structured facts, answer complex questions with citations back to the source document, and route ambiguous cases to human experts for review. Building AI systems that are accurate, reliable, auditable, and scalable is at the core of this role. As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems used at scale within one of the largest health insurers in the United States. You will own solutions end-to-end, from user experience and APIs to model orchestration, evaluation frameworks, infrastructure, and production operations.

Responsibilities

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.

Requirements

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
5+ years of experience building and operating production software systems.
Experience developing backend services, APIs, distributed systems, or 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.
Experience debugging, monitoring, and supporting production applications used by real customers.
Ability to work independently, navigate ambiguity, and take ownership of projects from concept through deployment.
Experience building AI systems where LLMs are part of the critical production workflow.
Experience designing evaluation frameworks, testing strategies, prompt versioning, tracing, and model performance monitoring.
Experience with agentic architecture, Model Context Protocol (MCP), tool orchestration frameworks, or autonomous workflows.
Experience with React, Next.js, modern frontend development, and full-stack application architecture.
Experience deploying and operating workloads in Kubernetes, Docker, and cloud environments.
Experience with modern CI/CD practices and infrastructure automation.
Experience working in regulated industries such as healthcare, financial services, or government.
Familiarity with privacy, compliance, governance, and data protection requirements.
Experience using AI-assisted development tools to improve engineering productivity and software quality.
Strong problem-solving, communication, and collaboration skills.
Successful candidates are energized by ambiguity, motivated by ownership, and excited to solve difficult problems where correctness matters.
You enjoy building systems that are accurate, traceable, and trustworthy, and you view model failures as engineering challenges to be solved rather than limitations to be accepted.
This role is best suited for engineers who want to own meaningful problems end-to-end and see their work directly impact on users and business outcomes.
Responsible handling of sensitive and protected data is a fundamental requirement and an essential part of our engineering culture.

Skills

TypeScript
React
Next.js
Python
PostgreSQL
Gemini on Vertex AI
OCR
Document AI technologies
Docker
Kubernetes
CI/CD platforms and tooling
LLM integration
Retrieval-Augmented Generation (RAG)
Prompt engineering
API development
Distributed systems
Data pipelines
Cloud-native environments
Observability
Monitoring
Logging
Alerting
Incident response

Location

Commutable distance from one of the talent markets

Work Type

Hybrid

Experience Level

Senior
5+ years of experience building and operating production software systems

Education Level

Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience

Salary/Compensations

$141,100 - $194,000 per year

Benefits

Medical benefits
Dental benefits
Vision benefits
401(k) retirement savings plan
Time off
Paid time off
Company and personal holidays
Paid parental leave
Paid caregiver leave
Short-term disability
Long-term disability
Life insurance

About the Company

Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large.

Equal Opportunity

It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status.
It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements.
This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.