
Senior AI Software Engineer
Posted Sep 11

Posted Sep 11
This is a fully remote position, open to applicants in Florida, +8 more states.
β’ Develop and sustain LLM-driven features, which encompass retrieval-augmented generation systems, structured prompt pipelines, and smart workflow automation tailored for clinical environments.
β’ Execute and refine evaluation frameworks to assess the accuracy, safety, and reliability of AI outputs in production.
β’ Oversee the monitoring of deployed models and engage in initiatives for quality enhancement.
β’ Create backend services using Python or TypeScript that expose AI capabilities via REST, GraphQL APIs, and WebSockets.
β’ Assist in the design of AI infrastructure, deployment automation, and operational tools.
β’ Ensure compliance with HIPAA standards and the proper management of protected health information.
β’ Normalize software quality assurance processes.
β’ Manage testing and debugging efforts, and develop solutions.
β’ Investigate complaints and address intricate software-related challenges.
β’ Engage in architecture discussions, code reviews, and technical design meetings.
β’ Contribute to establishing and maintaining engineering standards within a new, expanding team.
β’ Make autonomous technical decisions regarding project components.
β’ B.S. or M.S. in Computer Science, Engineering, or a related discipline (or equivalent experience).
β’ Over 5 years of software engineering experience, including at least 2 years in developing production AI/ML systems.
β’ Practical experience with large language models and orchestration frameworks such as LangChain or LlamaIndex.
β’ Strong proficiency in Python, TypeScript, and ML libraries like Hugging Face, PyTorch, or scikit-learn.
β’ Background in creating REST or GraphQL APIs that serve AI/ML model outputs.
β’ Knowledge of retrieval-augmented generation pipeline design and vector databases.
β’ Experience in constructing custom LLM and agent evaluations, including automated testing of model outputs, agent paths, and failure modes.
β’ Understanding of HIPAA regulations and secure handling of sensitive health information.
β’ Capability to work independently with sound judgment in a greenfield, ambiguous setting.
β’ Hands-on experience with AI-assisted development tools and LLM coding frameworks like Claude Code, Pi Agent, Cursor, or Codex.
β’ Experience in fine-tuning or systematically assessing foundation models.
β’ Familiarity with multi-agent AI architectures, agent orchestration frameworks, and sandboxed code execution environments.
β’ Exposure to clinical data, EHR systems, FHIR standards, or healthcare AI applications.
β’ Familiarity with TypeScript and Next.js.
β’ Experience in a 0-to-1 product development or early-stage engineering context.
β’ Understanding of Humana's enterprise AI governance and responsible AI initiatives.
β’ Must reside near one of Humana's designated IT locations.
β’ Bonus incentive plan based on individual and/or company performance.
β’ Comprehensive medical, dental, and vision benefits.
β’ 401(k) retirement savings plan.
β’ Paid time off.
β’ Company and personal holidays.
β’ Paid parental and caregiver leave.
β’ Short-term and long-term disability coverage.
β’ Life insurance.
β’ Personal wellness and smart healthcare decision support.
β’ Flexible remote or hybrid home/office work arrangement.
β’ Occasional travel to Humana offices for training or meetings.
Verwaltungscloud.SH GmbH
WBS
EverCommerce
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