• 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.

Role Description Boomi's AI team is building the substrate for enterprise AI agents. As the Full Stack Engineer, you will: - Ship the user-facing surfaces that turn the team's backend into something teams actually use: trust-admin UIs, eval dashboards, agent operator consoles, and application embeds. - Champion modern programming methods across the team — AI-assisted coding, rapid prototyping, modern dev tooling, CI/CD discipline — multiplying every other engineer's velocity. - Serve as the team's surge engineer for US-based projects that need fast turnaround. What You'll Do: - Build internal admin UIs for the trust layer: classification review, masking rules, policy authoring, audit log. - Build agent eval dashboards: retrieval quality, agent answer quality, gold-set management, A/B configuration. - Build the agent operator console for the agent program team — prompt versioning, rollouts, feature flags. - Ship agent embeds in applications (Lightning / Canvas, app + slash commands). - Establish and evangelize modern programming methods on this team — AI-assisted coding (Cursor, Claude Code, GitHub Copilot Workspaces), rapid prototyping, modern CI/CD, code-quality discipline. - Run brown-bags; pair with India teammates on adopting new tools. - Set up dev infrastructure that makes the rest of the team faster: preview environments, automated tests, deployment automation. - Act as the team's go-to engineer for ad-hoc, US-based, time-boxed requests — fast prototypes, demos, one-off internal tools, and exec-facing dashboards. - Drive the policy SDK that agents call before retrieval. - Own front-end engineering quality: accessibility, observability, performance. Qualifications - 5+ years building production web applications end-to-end. - Strong TypeScript and React; proficient in Node.js or Python on the backend. - Has shipped at least one application integration (Lightning, Canvas, or AppExchange) or comparable integrations. - Comfortable with AWS (Lambda, API Gateway, IAM, Aurora). - Demonstrated experience using AI-assisted coding tools and modern dev workflows in production — and able to teach others. - Track record of rapid prototyping and shipping exec-facing work under deadline pressure. - Strong product and design instincts; comfortable engaging executives directly. - Has built dashboards or operator tools for data or ML systems. Bonus Points If You Have - Has built applications at scale. - Experience integrating with LLM provider APIs (Amazon Bedrock, OpenAI, Anthropic). - Familiarity with agent observability tools (LangSmith, Arize, Helicone). - B2B SaaS internal tooling background. - Has previously served as a tech-modernization champion or 'forward-deployed' engineer. - Background in design or UX, or a strong visual design sense. Location - Conshohocken, PA (preferred) or US Remote Compensation and Benefits - Base compensation for this position ranges from $138K - 173K. - This position is remote-friendly and final compensation will be determined by various factors including the candidate’s knowledge, skills, experience, and geographic location. - An overview of our benefits can be found here .