Tooploox

• Collaborate with cross-functional teams to design and build stateful, multi-agent workflows • Engage with clients to define requirements and oversee the full software development lifecycle • Implement rigorous evaluation pipelines to quantitatively measure agent performance • Proactively drive productivity and adapt to evolving demands • Translate stakeholders’ needs into requirements and drive development to ship prototypes • Stay informed about rapid advancements in the field

• Own end-to-end increments from scope through build, demo, and handoff. • Work across the stack - backend, APIs, LLM integrations, data layers - whatever the problem needs. • Use coding agents and agentic engineering workflows to move fast. • Build verification for AI-generated output - evals, grounding checks, and review surfaces that catch code that's syntactically correct but semantically wrong. • Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints. • Make scope tradeoffs that balance speed with learning. • Ensure what you ship is not only functional, but coherent and usable. • Run demos, gather feedback, and iterate quickly with clients. • Spot patterns across projects and turn them into reusable approaches. • Document what you build so it can be handed off, extended, or reused. • Contribute to improving how the team works - workflows, tools, and ways of shipping.

• Own end-to-end increments from scope through build, demo, and handoff • Work across the stack - frontend, backend, LLM integrations • Use coding agents and agentic engineering workflows • Build correction paths into AI interfaces • Partner with teams to understand client problems • Make scope tradeoffs between speed and learning • Ensure functionality and usability of shipped products • Run demos, gather feedback, and iterate quickly • Spot patterns and turn them into reusable approaches • Document builds for handoff and reuse

• Bridge cutting-edge research and real-world applications by designing and implementing modern LLM fine-tuning and optimization approaches. • Focus on applied research projects including retrieval-augmented systems (RAG), multimodal modeling, and large-scale learning for e-commerce. • Work on algorithms from the idea stage to deployment, building robust experimentation pipelines and evaluation frameworks for production-ready AI. • Interact directly with our partners, collaborating closely with engineering and product teams to bring research prototypes into the eBay ecosystem. • Contribute to Core AI strategy by taking ownership of research components and delivering measurable impact on product-facing systems. • Collaborate with world-class researchers to contribute to technical discussions, documentation, and internal thought leadership.

• Identify and prioritize business opportunities and advice clients on possible directions • Validate ideas through experimentation to make fast, informed de-risked decisions • Set goals and execute them • Incorporate data, user research, and market analysis to develop product strategies and roadmaps • Lead a cross-functional team of experts in their field, from AI engineers to experienced designers • Monitor productization of AI solutions from feasibility study through PoC to release and scale-up • Develop trustful relationships with stakeholders and ensure smooth cross-team communication • Stay current with the rapidly evolving field of Generative AI

• Collaborate with cross-functional teams to design and build AI Agentic solutions • Contribute to defining technical requirements and implementing features across the software lifecycle - from proof of concept through implementation to evaluation and production • Take ownership of assigned tasks and deliver high-quality, maintainable code • Manage backend tasks while contributing to frontend development • Stay informed about trends and advancements in AI and related fields, continuously learning and integrating new knowledge • Employ a pragmatic, evaluation-driven approach to adopting innovative AI solutions

• Own and evolve the team's internal tooling: MCPs, plugins, skills, AGENTS.md, templates, and reusable building blocks. • Ship client increments alongside the team when not focused on tooling work. • Design and improve agentic engineering workflows so the team can ship faster. • Enable the team to adopt new tools and workflows, not just build them. • Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints. • Partner with the team to identify bottlenecks and automation opportunities. • Turn one-off solutions into repeatable patterns the whole team can use. • Document tooling and workflows so they're easy to adopt and extend.

• Own end-to-end increments from scope through build, demo, and handoff. • Work across the stack. Frontend, backend, LLM integrations, whatever the problem needs. • Use coding agents and agentic engineering workflows to move fast. • Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints. • Make scope tradeoffs that balance speed with learning. • Spot patterns across projects and flag opportunities for reuse. • Contribute to tooling and workflows that help the team ship faster over time. • Document what you build so it can be handed off or extended.

• Own the design and front-end implementation of increments from concept through build and demo. • Build in code. HTML, CSS, React, whatever gets it shipped. • Use coding agents and agentic engineering workflows to move fast. • Partner with Pre-sales, GTM, and product discovery teams to understand client problems and constraints. • Make design tradeoffs that balance polish with speed. • Define and evolve AI UX patterns that the team can reuse across projects. • Spot interaction patterns that work (and don't) and document them for the team. • Ensure increments are coherent and usable, not just functional.

• Work on greenfield project • Design and estimate features to be delivered by the team • Develop and maintain the server-side logic of our applications using Java • Implement efficient and performant backend code for high-volume production applications • Monitor application health and reliability in production environment • Contribute to all phases of the development lifecycle, from concept to deployment • Review and refactor code, establishing best practices for code hygiene and organization • Lead a team of experienced developers, fostering an environment of continuous learning and improvement • Identify and manage risks in regards to project deadlines and technical solutions