Lead AI Solutions Engineer, Bluevine

• 5+ years of experience in software engineering, automation engineering, solutions engineering, or a similar hands-on technical role
• Strong coding and scripting skills, ideally in Python and/or JavaScript/TypeScript, with experience building automations, integrations, workflow systems, or AI-powered solutions
• Experience with AI tools and platforms such as OpenAI, Gemini, Copilot, AI agents, LLM workflows, prompt engineering, retrieval workflows, and related evaluation methods
• Experience working directly with non-technical stakeholders and moving from ambiguous business needs to well-scoped, well-executed solutions
• Strong understanding of software engineering fundamentals, APIs, browser automation, workflow tooling, low-code/no-code tools, and sound judgment on when to use each
• Strong communication skills, high ownership, service orientation, and an entrepreneurial mindset
• Familiarity with prompt engineering, retrieval workflows, and evaluation of LLM-based systems
• Experience with APIs, browser automation, workflow tooling, and systems integration

Desirable

• We’re looking for a hands-on AI builder to help Bluevine reinvent how work gets done across the company
• In this role, reporting directly to R&D leadership, you’ll identify high-friction, repetitive processes across the business and turn them into practical AI-powered tools, automations, and workflows that drive real impact at scale
• This highly technical, cross-functional position is dedicated to enhancing the efficiency and productivity of non-technical departments through practical automation and applied AI
• You will collaborate with a wide range of stakeholders—across go-to-market, operations, and corporate functions—to identify opportunities, define necessary solutions, and construct effective tools
• You will leverage a combination of software engineering expertise, strong product intuition, and a service-oriented approach to develop and deliver practical solutions
• These solutions will include AI workflows, internal agents, automation pipelines, Chrome extensions, scripts, and lightweight applications
• A core part of your responsibility will be ensuring all development adheres to robust R&D and SDLC practices, resulting in solutions that are scalable, maintainable, and manageable over the long term
• Partner with business stakeholders across the organization to identify repetitive, tedious, and high-friction workflows that can be improved using AI and automation
• Design and build AI-powered workflows, agents, automations, browser-based tools, integrations, and lightweight applications
• Translate business problems into technical solutions, define implementation plans and success metrics, and choose the right tools and patterns for each use case
• Apply software engineering and SDLC best practices to deliver reliable, secure, scalable, and maintainable solutions
• Evaluate and select the right tools and patterns for each use case, including LLM workflows, agents, prompt-based solutions, APIs, and scripting
• Create reusable components, documentation, and standards, and measure impact through efficiency gains, adoption, and business outcomes
• Measure solution impact through efficiency gains, time savings, adoption, quality improvements, and business outcomes