AI Engineer

Responsibilities

• Collaborate with Solutions Architects, leadership, Product, and Engineering to scope technical work and translate ambiguous business needs into deliverables.
• Evaluate and integrate LLMs, agents, and workflow automation for measurable productivity improvements.
• Build internal tools, agents, and automated workflows for technical discovery, solution design, demos, customer engagements, pipeline management, and product interlock.
• Harden SA- and manager-built tools into scalable, maintainable, production-grade solutions.
• Identify recurring workflow friction and build reusable solutions that scale across the organization.
• Build custom demo environments, proof-of-concept applications, and technical assets for strategic customer engagements.
• Document tools, architectures, and usage patterns for broader adoption.
• Debug, extend, and maintain backend systems across multiple codebases and infrastructure.

Requirements

• At least 4 years of experience as an engineer shipping production systems.
• Strong backend engineering fundamentals, including debugging failing systems, tracing issues across services, and reasoning about data flows.
• Experience building and deploying AI agents, LLM-powered tools, or workflow automation beyond basic prompt engineering.
• Experience independently scoping and delivering work in a fast-moving, cross-functional environment.
• Proficiency in at least two of Ruby, Node.js, Python, or Next.js.
• Familiarity with AWS or GCP cloud infrastructure, including deployment, monitoring, and basic DevOps.
• Experience building internal tools, developer platforms, or workflow automation.
• Ability to work across multiple codebases and technology stacks simultaneously.
• Hands-on experience using AI and LLM tools in engineering workflows while retaining independent debugging and problem-solving ability.
• Strong written and verbal communication skills and ability to explain technical decisions to non-technical stakeholders.
• Comfort defining, scoping, and iteratively shipping solutions for ambiguous business problems.
• Preferred: experience with extensible platforms, low-code frameworks, or template systems.
• Preferred: Solutions Engineering, Sales Engineering, GTM Engineering, or customer- and go-to-market-facing product engineering experience.
• Preferred: familiarity with Stripe products, APIs, or payments and fintech.
• Preferred: experience integrating third-party platforms such as Salesforce and Gong.
• Preferred: track record of building tools adopted beyond the immediate team.
• Preferred: consulting, professional services, or other technical roles with strong business context.