• Design, develop, test, deploy, and maintain mobile applications using React Native • Estimate engineering effort and plan implementation of system changes • Shift from manual typing to using AI for feature development • Implement user-friendly UX/UI designs • Maintain documentation for building and deploying apps • Build and deploy to App Store and Google Play • Conduct code reviews and ensure security standards are met • Stay updated with new development trends

• Design and ship production AI systems — multi-agent orchestration, routing, and specialized agents that take a request and carry it through to a reliable outcome. • Automate manual operational work across onboarding, support, exceptions, and document/data understanding — turning processes that take hours or days into seconds. • Build the models behind the decisions — forecasting, prediction, matching/allocation, optimization, and reliability scoring that ground the product in data instead of guesswork, exposed as services the agent layer can call. • Design the learning loop. Instrument decisions and their outcomes so models continuously improve, with the data and evaluation infrastructure to support it. • Own reliability and evaluation. Build the eval harnesses, tracing, observability, and guardrails for complex AI workflows where mistakes carry real operational and financial consequences — and prove a model or agent beats the status quo before it ships. • Make the build-vs-rules calls — know when a model genuinely wins, when an agent is the right tool, and when a simple rule is the smarter answer. • Raise the bar and help the team grow — push our prototyping-to-production pipeline forward and mentor engineers as the AI team scales.

• Design, develop, test, deploy, and maintain TLI mobile applications using React Native • Implement user-friendly UX/UI designs using AI tools • Proactively implement tools to handle live production incidents • Generate functional prototypes for marketing experiments in hours • Run weekly code review meetings and ensure code security standards.

Role Description We’re looking for a senior engineer who has fully internalized AI-native development. This is for someone who can ship at the pace of a small team by directing AI coding agents, while still bringing the judgment, fundamentals, and technical ownership of a senior/staff-level engineer. You understand where AI tools are powerful, where they fail, and when human judgment needs to lead. You can move quickly from prototype to production, own complex technical decisions, and help shape the product at a very early stage. You’ll work directly alongside the founders and senior team, with meaningful ownership over core parts of the product. What You’ll Do - Build and ship core product features, systems, and infrastructure. - Turn fast-moving, AI-assisted prototypes into reliable, scalable, production-grade software. - Own architecture, security, quality, and technical direction across major parts of the product. - Use tools like Codex, Claude Code, and modern AI coding agents to dramatically increase engineering output. - Direct, evaluate, and control agentic development workflows while maintaining strong human oversight. - Help define how the team builds: engineering standards, architecture patterns, review practices, and AI-native workflows. - Work closely with founders on product, strategy, technical tradeoffs, and execution. - Debug complex issues, make high-judgment technical decisions, and raise the overall engineering bar. Qualifications - 8–12+ years of experience building and shipping real production software. - Strong experience owning systems used by real users, including production incidents, scale, reliability, and long-term maintainability. - AI is central to how you work: you use tools like Codex, Claude Code, Cursor, or similar AI coding tools daily. - You know how to use AI agents to multiply your output, while maintaining control over quality, security, and architecture. - Deep software engineering fundamentals across architecture, debugging, system design, and code quality. - Strong security instincts and the ability to identify where AI-generated code can introduce risk. - Excellent judgment around where AI tools excel, where they hallucinate, and where human expertise is required. - A strong ownership mindset: you run toward responsibility, ambiguity, and hard technical problems. - Startup, 0→1, founder, first-engineer, or early-stage product experience. Bonus Points - You’ve been a founder, first engineer, or early technical leader. - You’ve worked on enterprise, security, compliance, infrastructure, or mission-critical systems. - You’ve built products involving AI agents, developer tools, AI infrastructure, governance, or automation. - You’ve designed or managed agentic coding workflows at scale. - You have a strong public body of work: open-source projects, technical writing, demos, talks, or content around AI-native development. Benefits - Work alongside the ChainGPT core team on high-impact AI and Web3 products across our ecosystem. - Remote-first setup with flexible hours, focused on outcomes, trust, and ownership. - Competitive compensation, with performance-based upside where applicable to the role. - Fast-moving environment with direct collaboration across all team members, including senior management, and clear accountability with no micromanagement. - The support to do your best work, including the tools you need, structured onboarding, and clear room to grow.