Top Tech Jobs & Startup Jobs

As an Applied AI Solution Engineer, you will design, build, and deploy AI applications, interact with clients, and solve technical problems, leading teams and ensuring solution quality.

The Senior Applied AI Solution Engineer will design, develop, and lead AI applications, mentor engineers, and communicate with clients to align AI strategies with business objectives.

As a Senior Applied AI Solution Engineer, you'll develop AI applications, consult with clients, lead projects, ensure ethical practices, and maintain AI solutions.

Design, build, and deploy AI applications using large language models. Involve client consultation, technical leadership, and quality assurance while ensuring ethical AI practices.

Build and deploy AI applications, collaborate with clients, solve technical issues, provide guidance, and ensure ethical standards in AI development.

The role involves designing, building, and deploying AI applications, particularly large language models, while leading teams and advising clients on AI solutions.

Design end-to-end AI experiences for consumer and enterprise products: research opportunity areas, prototype agent behaviour/personality, craft UI/UX and brand-aligned visual expression, and work with engineering to build testable, trustworthy AI solutions.

Design end-to-end AI-driven products for consumer and enterprise contexts. Conduct rapid research, prototype agent behaviour and personality, create polished UI/UX and brand-aligned agent experiences, and collaborate closely with front- and backend AI engineers to build testable, trustworthy AI solutions.

Design end-to-end AI experiences for consumer and enterprise contexts: research opportunity areas, prototype agent behaviour and personality, align visual and brand expression, collaborate with frontend and backend engineers, and build testable AI-driven product workflows focused on usability, trust, and adoption.

The role involves embedding with client teams to improve workflows using AI, create reusable assets, and uplift team capabilities in AI adoption. Responsibilities include redesigning workflows, building custom tools, and providing coaching to enhance productivity and adoption.