Full Job Description
Required Skills: 5+ years of software engineering experience with strong hands-on skills in Python, APIs, cloud platforms, data integration, and modern application development. Experience building AI/ML or generative AI solutions, integrating large language models, and rapidly developing prototypes into scalable solutions. Strong problem-solving, communication, and cross-functional collaboration skills are required. | Preferred Skills: Experience with generative AI, LLMs, RAG, agentic AI, prompt engineering, AI evaluation, and responsible AI practices is preferred. Familiarity with Azure and modern data platforms is beneficial. Healthcare, pharmacy, or other regulated-industry experience is preferred, along with experience working directly with product and business teams to rapidly validate and deliver AI use cases. | Primary Responsibilities: Design, build, test, and iterate AI-enabled solutions supporting Genoa's AI Native Pharmacy Platform. Partner directly with product, engineering, architecture, data, and business teams to translate high-value opportunities into working solutions. Develop prototypes, integrations, and production-ready capabilities while applying appropriate engineering, security, governance, evaluation, and responsible AI practices. • These emphasize hands-on AI building, rapid delivery, and strong business partnership, which fits the FDE role better than traditional software engineering language. | Prior Experience: 5+ years of experience in software engineering, AI/ML, or data-driven application development, with hands-on experience delivering AI-enabled solutions. Background in healthcare, pharmacy, or other regulated industries is preferred. Experience working with cross-functional product and business teams to rapidly prototype, validate, and scale AI solutions is highly beneficial. | AI Skills: All contractor resources are expected to demonstrate baseline proficiency in enterprise-approved AI tools as part of their day-to-day responsibilities. This includes, but is not limited to: Consistent Use: Maintain a minimum of 90% weekly usage of AI tools such as GitHub Copilot, Microsoft 365 Copilot, and other GenAI platforms approved by the enterprise. Applied Productivity: Leverage AI tools to enhance coding, documentation, data analysis, and decision-making workflows. Continuous Learning: Stay current with evolving AI capabilities and features, and apply them to improve delivery quality and velocity.
