Lead AI Engineer, Internal Tooling

Lead AI Engineer, Internal Tooling

Location: Remote, Nationwide

Please make sure you read the following details carefully before making any applications.

Our client is seeking a senior, hands-on engineer to shape a new generation of intelligent internal systems. This is an opportunity to work across the business, uncover high-value operational challenges, and turn them into production-ready software and AI solutions. Rather than owning a narrow feature set, you will have the freedom to identify where technology can create leverage, build the solution, launch it, and continue improving it based on real-world results.

This Role Offers:

• A highly autonomous engineering role with ownership from problem discovery through production.
• The opportunity to build AI-enabled tools that directly improve how teams work and make decisions.
• Broad exposure to business functions and technical challenges rather than a narrowly defined product area.
• A hands-on environment where strong engineers can move quickly from an idea to a working solution.
• The ability to influence the technical direction and engineering practices behind a growing internal technology ecosystem.

Focus:

• Build and launch AI-enabled internal products that reduce friction in everyday business processes.
• Take internal opportunities from discovery through architecture, implementation, release, monitoring, and continuous improvement.
• Partner with teams across the organization to turn operational challenges into useful technical products.
• Create reliable automations, integrations, and intelligent workflows that connect systems, data, and business processes.
• Apply sound engineering judgment to ambiguous problems while balancing delivery speed, maintainability, reliability, and business value.
• Contribute directly to backend, full-stack, or platform code while maintaining a strong standard for production quality.
• Collaborate effectively with technical stakeholders and business partners, clearly communicating tradeoffs and shaping practical solutions.
• Operate with significant autonomy in a fast-moving environment where priorities and requirements can evolve.
• Evaluate solutions after release, learn from usage and performance, and iterate to increase their effectiveness.
• Help establish practical engineering patterns for an expanding portfolio of internal AI systems.

Skill Set:

• Strong hands-on software engineering experience in backend, full-stack, or platform development, supported by solid programming fundamentals.
• A track record of personally building and shipping production software, AI applications, or automation systems.
• Demonstrated ownership across the software lifecycle, including problem definition, design, development, deployment, monitoring, and iteration.
• Strong independent problem-solving skills with the ability to create structure around unclear or changing requirements.
• A product-minded approach to internal systems, including the ability to understand business needs and translate them into practical technical solutions.
• Clear communication skills and comfort collaborating directly with both technical and non-technical colleagues.
• The autonomy and adaptability to succeed in a fast-paced, startup-style environment.
• Experience with APIs, databases, cloud infrastructure, system integrations, or AI-enabled services is valuable.
• A background in building technology solutions that streamline processes, increase efficiency, or enhance internal tools is preferred.
• Sound judgment around reliability, maintainability, monitoring, and production support.
• An interest in applying AI where it creates meaningful operational value and solves real business problems.

About Blue Signal:

Blue Signal is an award-winning, executive search firm specializing in various specialties. xihmbke Our recruiters have a proven track record of placing top-tier talent across industry verticals, with deep expertise in numerous professional services. Learn more at /46Gs4yS