Top Tech Jobs & Startup Jobs

Lead architecture and technical vision for AI-native systems that convert natural language into multi-step workflows. Design and scale LLM agents, real-time inference, memory and tool orchestration, and learning systems that evolve from usage data. Set engineering standards, mentor senior engineers, collaborate with product and design, and own ambiguous, end-to-end technical problems to ensure performance, reliability, and extensibility at scale.

Lead architecture and implementation of AI-native systems that convert natural language into multi-step workflows. Build and scale an LLM agent for real-time inference, dynamic prompting, and tool orchestration. Drive full-stack technical direction, ensure scalability/reliability, integrate learning from usage, mentor engineers, and collaborate with product and design to deliver production-quality, maintainable systems.

Build and evaluate autonomous and semi-autonomous agent workflows that interact with browsers, codebases, and APIs. Design modular tool/memory/evaluator frameworks, develop data pipelines for SFT and RL training, benchmark and prompt strategies, and partner with stakeholders to align AI behavior with user needs.

Lead end-to-end implementations of an LLM-driven platform for enterprise customers: perform technical discovery, build integrations and reusable tools, deploy and optimize features, collaborate with product and customer stakeholders, and maintain performance, reliability, and documentation.

Lead design and operation of scalable, secure infrastructure for an AI-driven platform. Own Kubernetes clusters, CI/CD, observability, IaC, and real-time compute services. Drive automation, reliability best practices, disaster recovery, and long-term infrastructure strategy to support rapid product iteration and growth.

Build and implement high-quality interactive UI components and prototypes using React/TypeScript/Next.js. Collaborate with product, design, backend, and AI researchers to define APIs, design systems, accessibility (WCAG), performance, and usability. Conduct usability tests, iterate on user-focused solutions, and maintain scalable component libraries and responsive web experiences.

Lead technical discovery and full-stack implementations of Gradial's LLM-driven platform for enterprise customers. Build integrations with CMS/DAM/workflow systems, develop reusable adapters and configuration layers, and optimize performance, reliability, and customer UX. Translate complex marketing operations into scalable generative-AI solutions and collaborate closely with customers and product/engineering teams.

Lead Gradial's visual and brand identity across website, product marketing, motion, social, decks, and more. Translate complex AI and automation concepts into clear, human-centered design, build scalable visual systems, partner with Product and GTM, raise design quality, and move quickly while maintaining high standards.

Create and maintain training, demos, and enablement assets for customers, partners, AEs and new hires. Build lesson content, videos, certifications, and demo scenarios; manage LMS publishing; coordinate reviews; track learner feedback and readiness; ensure materials stay current with product.

Build and operate an intent-driven outbound engine: ingest signals, prioritize accounts, design enrichment and routing workflows, run personalized outbound programs, experiment across messaging and channels, and track signal-to-meeting pipeline performance. Partner with Sales and RevOps to improve handoffs and iterate quickly on what converts.