Forward Deployed Engineer (Python, AI/ML, Generative AI) - UK based

Descripción del puesto

About Us Founded in 2011, Modus is a global, fully remote team of world-class technologists who thrive in a collaborative, innovative environment. We're a digital product engineering partner for forward-thinking businesses. Our global teams work side-by-side with clients to design, build, and scale custom solutions that achieve real results and lasting change, partnering with industry leaders including AWS, GitHub, and Atlassian. We were fully remote before it was cool! Recognized as one of the Inc. 5000 Fastest Growing Private Companies for nine years and a top remote work company by FlexJobs, we have helped some of the world's largest brands deliver powerful digital experiences. As an award-winning Atlassian partner with a world-class team, we help organizations innovate and solve complex challenges for Fortune 500 companies and beyond, we want to hear from you. Opportunity We are looking for a Forward Deployed AI Engineer to work closely with clients to identify, prototype, and deploy AI-powered solutions to real-world business challenges. This is a highly hands-on, customer-facing role combining AI engineering, software development, solution architecture, and consulting. You will work directly with users and stakeholders to understand their needs, rapidly build solutions, and iterate based on real-world feedback. The ideal candidate is a strong engineer who is comfortable moving between customer conversations, architecture, coding, prototyping, and production delivery. Key Responsibilities Work directly with clients to understand business challenges, workflows, data, systems, and technical requirements. Translate ambiguous problems into practical AI and software solutions. Design, build, and deploy AI-powered applications, agents, copilots, and intelligent workflows. Integrate LLMs, Generative AI, APIs, enterprise systems, and data sources. Rapidly prototype solutions and validate them with users. Develop supporting APIs, services, data pipelines, and applicatio