Lead AI Engineer
New
J
JobgetherEnterprise Software
USFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- 7+ years
- Required Skills
- AWSNode.jsPostgreSQLJavascriptTypeScriptNext.jsReactCI/CDGenerative AI
Requirements
- 7+ years of experience building and shipping production software across both front-end and back-end environments, including complex systems.
- 2+ years of hands-on experience building and deploying generative AI capabilities in real-world products.
- Expert-level proficiency with TypeScript and JavaScript and modern frameworks such as Next.js and React.
- Strong backend experience using Node.js, NestJS, Express, or comparable technologies.
- Strong understanding of data technologies including PostgreSQL/SQL, caching systems, vector stores, and related data layers.
- Demonstrated expertise using AI-assisted development tools such as Cursor, Claude Code, Windsurf, Copilot, or comparable platforms.
- Ability to effectively design prompts, decompose complex problems, establish testing strategies, and critically review AI-generated code and outputs.
- Strong understanding of application security and compliance, including authentication and authorization, RBAC/ABAC, auditing, data residency, secrets management, and PII protection.
- Experience with cloud and DevOps technologies such as AWS, GCP, Azure, Vercel, CI/CD pipelines, infrastructure as code with Terraform or Pulumi, and monitoring and observability.
- Proven ability to guide senior engineers, establish technical standards, make architectural decisions, and raise engineering quality.
- Strong client-facing communication skills and the ability to translate technical concepts into clear business outcomes.
- Demonstrated curiosity, proactive learning, ownership, adaptability, and comfort operating in ambiguous, fast-moving environments.
Responsibilities
- Design and build the core architecture for an enterprise-grade workflow automation platform, establishing scalable patterns, APIs, integrations, and workflow engines.
- Make independent decisions around technology stacks, architecture, implementation approaches, and engineering practices while constructively challenging assumptions when appropriate.
- Deploy solutions virtually or onsite within customer organizations across the United States, adapting to varying technical environments and business requirements.
- Lead discovery sessions with customers to understand workflows, operational challenges, technical requirements, and opportunities for automation.
- Rapidly prototype and develop customized enterprise solutions that address customer needs while maintaining appropriate standards for scalability, reliability, and security.
- Integrate generative AI capabilities into workflows and applications to improve automation, efficiency, and measurable customer outcomes.
- Serve as a senior technical representative during customer engagements, clearly communicating technical concepts, setting expectations, and guiding stakeholders through implementation.
- Work closely with executive leadership and operate with a high degree of autonomy, taking ownership of technical challenges and delivering solutions with minimal oversight.
- Establish engineering patterns and best practices, guide senior engineers, and contribute to raising the technical quality of the broader team.
- Continuously iterate on products and solutions, prioritizing rapid delivery, learning, experimentation, and measurable impact over lengthy upfront planning.
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