Fever is seeking a Senior Forward Deployed AI Engineer to accelerate Fever's company-wide AI transformation from the inside out. This senior, hands-on individual contributor will sit with business teams across Operations, Creative, and Support, observe workflows, identify AI opportunities that genuinely save time, and build the solution end-to-end—from discovery to production. You will own the problem, decide what to build, ship it, and ensure adoption. What you'll do: - Embed with business teams, shadow real workflows, and identify pain points where AI can provide meaningful time savings. - Design and deploy AI systems, including LLM applications, agents, RAG pipelines, chatbots, and automated workflows. - Own the full lifecycle: discovery, prototyping, production deployment, and adoption—no handoffs. - Measure impact: track time/effort saved and iterate based on usage. - Prioritize your own roadmap: decide what’s next. What we're looking for: - 6+ years of software engineering with hands-on production experience shipping AI systems using LLM frameworks (e.g., LangGraph, LlamaIndex), agentic workflows, or similar; not just prototypes. - A track record of owning end-to-end projects without a team behind you. - Strong engineering foundations: Python, APIs, microservices, databases, AWS. - Comfort with ambiguity and ability to determine what to build from a business domain without a brief. - Excellent communication with non-technical stakeholders and ability to translate processes into technical solutions. - This is an individual contributor role; you will own your domains in

Fever is seeking a Senior Forward Deployed AI Engineer to accelerate Fever's company-wide AI transformation from the inside out. This senior, hands-on individual contributor will sit with business teams across Operations, Creative, and Support, observe workflows, identify AI opportunities that genuinely save time, and build the solution end-to-end—from discovery to production. You will own the problem, decide what to build, ship it, and ensure adoption. What you'll do: - Embed with business teams, shadow real workflows, and identify pain points where AI can provide meaningful time savings. - Design and deploy AI systems, including LLM applications, agents, RAG pipelines, chatbots, and automated workflows. - Own the full lifecycle: discovery, prototyping, production deployment, and adoption—no handoffs. - Measure impact: track time/effort saved and iterate based on usage. - Prioritize your own roadmap: decide what’s next. What we're looking for: - 6+ years of software engineering with hands-on production experience shipping AI systems using LLM frameworks (e.g., LangGraph, LlamaIndex), agentic workflows, or similar; not just prototypes. - A track record of owning end-to-end projects without a team behind you. - Strong engineering foundations: Python, APIs, microservices, databases, AWS. - Comfort with ambiguity and ability to determine what to build from a business domain without a brief. - Excellent communication with non-technical stakeholders and ability to translate processes into technical solutions. - This is an individual contributor role; you will own your domains in