Senior Applied AI Software Engineer ( AI)

Humana • Louisville, KY

2d • Hybrid

About The Position

Become a part of our caring community The Enterprise AI organization at Humana is a pioneering force, driving AI development across our Insurance and CenterWell business segments. By collaborating with world-experts, we deliver the latest AI technologies for improving care quality and experience of millions of consumers. Our goal is to create safe AI solutions to improve and improve healthcare experience and outcomes for our customers. We are looking for top talent to join us in shaping the future of healthcare through AI excellence. Join our expanding team of dedicated product managers, data scientists, engineers, policy experts, and business leaders as we work together to build impactful and beneficial AI systems.

Requirements

• Minimum 5 years of professional software engineering experience with advanced Python development experience delivering scalable, production-grade full-stack applications.
• At least 3 years of experience building user-facing applications using modern frontend frameworks such as React, Vue, Solid, or Angular.
• Development of responsive, accessible, and API-integrated user interfaces is necessary.
• Demonstrated hands-on experience integrating AI/ML capabilities into production systems using contemporary AI SDKs, orchestration frameworks, and agentic architectures.
• Proficient in prompt engineering, model selection, context management, and generative AI deployment best practices.
• Direct experience developing AI-powered solutions, such as retrieval-augmented generation (RAG) pipelines and embeddings-based retrieval systems.
• Solutions also include AI agents, multi-agent workflows, and advanced conversational interfaces.
• Implemented AI-specific testing, evaluation, safety, and quality assurance methodologies.
• Proficiency with AI-assisted development tools such as Claude Code, Cursor, Replit, or comparable AI-enabled coding platforms, applying these tools for code acceleration, prototyping, debugging, and quality improvement.
• Experience with AI system evaluation, observability, reliability, fallback strategies, safety guardrails, latency optimization, and rate-limit management within enterprise production environments.
• Experience designing, deploying, and maintaining autonomous or semi-autonomous AI agents with tool invocation, memory, workflow orchestration, and multi-step reasoning capabilities in complex enterprise use cases.
• Bachelor's degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline, accompanied by at least 5 years of relevant professional experience.
• Alternatively, a Master's degree in a similar field with 3 years of relevant experience.

Nice To Haves

• Ability to explain complex AI concepts to non-technical team members.
• Excellent collaboration skills, allowing me to work with product managers, designers, clinicians, and compliance specialists.
• Expertise working within regulated or high-accountability environments, such as healthcare, finance, or government.
• Experience in healthcare industries

Responsibilities

• Develop production-grade AI agents and GenAI applications for healthcare, with emphasis on agent orchestration, RAG, tool use, workflow automation, and personalized assistance.
• Develop secure, scalable AI services using frameworks such as LangChain, LlamaIndex, or Semantic Kernel, plus Python APIs and modern web integration.
• Improve quality through prompt and context optimization, evaluation frameworks, guardrails, monitoring, and human-in-the-loop validation.
• Partner with product, clinical, data, and compliance teams to deliver measurable value in HIPAA-compliant environments.
• Use your skills to make an impact

Benefits

• medical
• dental
• vision benefits
• 401(k) retirement savings plan
• time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
• short-term and long-term disability
• life insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior