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AI Application Engineer at Lirio. . Location: Remote. Position Summary. .  . ​. Lirio is healthcare’s leading personalization engine that empowers healthcare organizations to better engage consumers on their journey to better health. Lirio leverages an approach called Precision Nudging™ – combining behavioral science and AI to drive meaningful health outcomes by assisting each person in their unique healthcare experience. By scaling personalized interventions, our clients deliver consumer-focused experiences that initiate and drive sustained behaviors across their entire population, optimizing consumer engagement, closing gaps in care, lowering costs, and measurably improving health outcomes. The AI Application Engineer. will work closely with the rest of the AI team, and interface with the broader technical organization. , to fine-tune, . optimize, deploy. , and maintain generative AI. models within the broader product offering. . This role requires combined expertise in software development, programming, data engineering. , and generative AI technologies. . . . Essential Duties & Responsibilities. . . Training. , . fine-tuning. , . alignment. . and . other. engineering tasks . required. for the . customization and. deployment of . new conversational AI models. backed by specialized LLMs. . .  .  . . . . Enhancing capabilities of conversational agents (e.g., through inte. roperability. with . other tools and. agentic models)..  .  .  .  . . . . Design, implementation, testing, deployment, an. d maintenance. of production software in compliance with Lirio’s practices and methodologies in software engineering, including an emphasis on quality and security..  . . . . Collaborate with cross functional teams to define project requirements and deliver scalable solutions. ..  . . . . Conduct testing and optimization of AI models, ensuring high performance and accuracy..  .  . . . . Participation in planning/agile ceremonies..  . . . . Stay up to date on. the. latest . Generative . AI technologies. /advances. ..  . . . . The ideal candidate will have extensive experience in RLHF, DPO, RAG,. . CoT. reasoning, MCP and other agentic . communication . protocols, etc.. . . .  . . Qualifications. . . Master's degree preferred. . 3-5 years of relevant experience. . ​. ​. E. xtensive experience in the development and deployment of LLM-based technologies. in production environments.. ​.  . . Knowledge of MCP and other agentic communication protocols.  . . Knowledge of cloud platforms (AWS, Google Cloud, Azure) and deployment strategies.  . . Profenciy in programming languages Pytho. n. , Java, C++.  . . Ex. tensive knowledge of or direct experience with. a variety of tools and open-source libraries related to LLM customization and deployment. (e.g., fine-tuni. ng and optimization libraries, evaluation frameworks, inference and serving engines, etc.).  . . Additional. . areas of . experience. /expertise. that . are. . preferred. for this role i. nclude. mobile application development,. voice-related technologies, . multi-lingual language models. , and application of LLMs in the healthcare sector, including familiarity with the relevant regulatory requirements. ..  . . . Benefits. . . Medical (HSA available).  . . Dental.  . . Vision.  . . Short-term & long-term disability (company-paid).  . . Life & AD&D (company-paid).  . . 401K with company match.  . . 10 paid holidays + holiday week company closure.  . . Flexible time off policy.  . . Work from home. . Salary Range: $120,000-$150,000. . .  . .