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Staff Software Engineer (Remote - US) at Jobgether. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.. One of our partner companies is currently looking for a . Staff Software Engineer. in the . United States. .. This is a remote-first role focused on advancing the development of LLM-powered applications by designing scalable AI tooling and best-in-class frameworks. As a Staff Software Engineer, you will work closely with cross-functional teams to enhance developer experience, streamline engineering workflows, and implement AI solutions at scale. Your impact will extend from technical strategy and implementation to mentoring engineers and evaluating external tools for compliance and performance. If you're passionate about the future of AI development and love building powerful, developer-centric platforms, this opportunity is for you.. Accountabilities:. . Design and implement tools that enable teams to build and scale LLM-powered applications. . Define and promote best practices in prompt engineering, experimentation, and quality assessment. . Evaluate and integrate third-party AI tools, open-source technologies, and custom models. . Create developer resources such as prompt guides, documentation, and training material. . Collaborate with product and platform engineering to reduce friction in the development process. . Use data and developer experience metrics to inform technical decisions. . Mentor engineers and contribute to technical design, code reviews, and team discussions. . Engage in full-cycle software development including testing, deployment, and incident response. . . 7+ years of experience in developer tooling or platform engineering. . 2+ years focused on AI infrastructure, tools, or applications (LLMs, prompt engineering, etc.). . Proven experience leading platform teams and driving engineering excellence. . Familiarity with AI/ML concepts like vector databases, RAG, prompt tuning, and model evaluation. . Hands-on experience with modern stacks such as Node.js, TypeScript, MongoDB, and AWS. . Ability to measure and improve LLM output quality using prompt optimization and tuning techniques. . Strong collaboration and communication skills in remote, cross-functional teams. . Passion for staying current with emerging AI technologies and applying them effectively. . Company Location: United States.