Job Description Summary
Note: This position follows our hybrid-friendly schedule, so you get the best of both worlds – flexibility and collaboration. In office days are 3 days per week (including a Monday or Friday), in our St Petersburg, FL Corporate Office.
This role is not eligible for Work Visa sponsorship, either currently or in the future.
Job Description
About the Role:
We are seeking a hands-on Lead Engineer to drive the technical vision and function as a process engineer utilizing our internal AI systems, platforms, and frameworks.
Already adopted by multiple engineering teams, our internal platform is expanding across the firm. We are focused on improving scalability, reliability, ease of adoption, and flexibility as AI technologies rapidly evolve. This role will lead the platform architecture, establish engineering standards, and deliver high-impact technical solutions.
You will spend your time coding, reviewing designs and pull requests, solving complex technical challenges, supporting production environments, and shaping long-term platform strategy. This is an ideal opportunity for a technical leader passionate about building tools that enable engineers to work smarter and faster.
What You'll Do:
Set the Technical Direction
Define and evolve the platform architecture, ensuring scalability, extensibility, and maintainability.
Design solutions that remain compatible across multiple AI providers, coding tools, and operating systems.
Establish engineering patterns and best practices for the broader team.
Deliver High-Impact Solutions
Lead and contribute directly to key platform initiatives, including:
Streamlining platform installation and onboarding across Windows and macOS.
Building telemetry and reporting capabilities to provide visibility into AI usage, costs, and adoption.
Developing secure, sandboxed environments for AI-assisted development and testing.
Expanding AI agent capabilities, enterprise integrations, and business-domain knowledge resources.
Maintain AI Platform Agility
Continuously assess emerging AI models, developer tools, and orchestration technologies.
Recommend and implement new capabilities while avoiding unnecessary vendor dependency.
Partner with product leadership to evaluate capabilities and define future roadmap priorities.
Raise the Engineering Bar
Ensure high standards for code quality, testing, reliability, and operational excellence.
Lead code reviews and architectural reviews for core platform components.
Support incident response and continuous platform improvements.
Lead Through Influence
Provide technical leadership across a distributed contributor model.
Facilitate design reviews, solve complex technical challenges, and mentor engineers.
Foster collaboration across engineering teams contributing to the platform.
Partner with Platform Users
Engage regularly with engineering teams using the platform.
Gather feedback, identify pain points, and translate insights into platform enhancements.
Collaborate with stakeholders to prioritize investments and improve developer experience.
What You Bring:
8+ years of senior engineering experience building enterprise-grade software that other engineers or business teams depend on — internal platforms, large-scale services, developer tooling, SDKs, or similar systems.
At least 2 years of hands-on experience building solutions powered by large language models (LLMs) or AI agent frameworks.
Prior experience building or extending agentic coding tools like Claude Code or OpenAI Codex, and IDEs like VS Code — or comparable tools.
Strong proficiency in Python and working knowledge of Node.js and TypeScript.
Direct experience designing or substantially extending integrations between AI coding tools and external systems (any of: Model Context Protocol servers, custom LangChain/LangGraph tools, Copilot extensions, JetBrains AI plugins, Cursor / Continue / Aider integrations).
A working point of view on at least one production AI coding tool — enough to…