Applied AI Engineer

Humana • Park, KS

30d • $142,300 - $195,700 • Onsite

About The Position

Become a part of our caring community
We are seeking Senior AI Software Engineers who thrive on building production-grade, Python-based systems that put generative AI in the hands of real users — not just prototypes or notebooks. The ideal candidate is first and foremost a strong software engineer, with hands-on experience designing, shipping, and operating LLM-powered applications at scale.
As a Senior Engineer, you will own the design and delivery of AI-powered services end to end — from API and system design, through implementation and deployment, to monitor and continuous improvement in production. You will be a partner with data scientists and fellow engineers, but your primary focus is on engineering excellence: well-architected services, reliable pipelines, clean code, and robust operations.

Requirements

• Bachelor's Degree in a quantitative discipline (e.g., Computer Science, Software Engineering, Mathematics, or a related field) with a minimum of 5 years of professional software engineering experience; OR Master's Degree in a similar field with at least 3 years of relevant software engineering experience.
• 5+ years of experience developing production Python-based applications and services intended for use by others — not just models, scripts, or analyses.
• Strong software engineering fundamentals: API and system design, data structures, testing, code review, and debugging distributed systems.
• Proficiency with API frameworks (e.g., FastAPI, Flask) and solid grasp of RESTful API design, authentication, and versioning.
• Experience building and operating backend services on cloud platforms (e.g., AWS, Google Cloud, Azure).
• 3+ years of experience with containerization and orchestration (e.g., Docker, Kubernetes).
• 2+ years of experience with CI/CD tools and pipelines, and shipping code to production on a regular cadence.
• Hands-on experience integrating Large Language Models (LLMs) into production applications — including prompt design, tool/function calling, evaluation, and cost/latency tuning.
• Strong experience with version control (Git), trunk-based or feature-branch workflows, and modern software development best practices.
• Hands-on experience using agentic AI coding tools (e.g., Claude Code, Cursor, GitHub Copilot agents) as part of the day-to-day development workflow, including effective prompting, reviewing AI-generated code, and iterating on multi-step agent tasks.

Nice To Haves

• Experience designing and operating agentic or RAG-based systems in production (retrieval, tool use, memory, evals).
• Experience with distributed systems, event-driven architectures, or streaming platforms (e.g., Kafka).
• Familiarity with generative AI frameworks such as LangChain, LlamaIndex, or Pydantic AI.
• Familiarity with observability and evaluation tooling for LLM applications (e.g., OpenTelemetry, LangSmith, Arize, custom eval harnesses).
• Familiarity with infrastructure-as-code (e.g., Terraform, Pulumi).
• Excellent problem-solving skills and ability to work in a collaborative, fast-moving environment.

Responsibilities

• Design, build, and operate production services that leverage Large Language Models, RAG, and agentic workflows to solve real business problems.
• Architect and maintain scalable, well-tested APIs and backend systems that expose AI capabilities to downstream applications.
• Build and maintain robust data and inference pipelines for ingestion, processing, transformation, and serving of large datasets and model outputs.
• Own the reliability, performance, cost, and observability of deployed APIs, and pipelines (logging, metrics, tracing, alerting, evals).
• Drive engineering best practices across the team: code review, testing, CI/CD, documentation, and secure-by-default design.
• Stay current with advancements in LLMs, agent frameworks, and AI infrastructure, and translate them into pragmatic engineering improvements.

Benefits

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

What This Job Offers

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