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Mid-level role, metro context, and broad skillset requirements drive high competition.
Core LLM and engineering skills transfer broadly, but customer-facing SaaS experience narrows fit slightly.
Technical ML/AI and customer-facing expertise required despite no strict years mandate.
Own end-to-end delivery of AI-powered automation solutions from customer problem discovery to deployment and iteration.
Collaborate with Product, Engineering, and Customer Success to convert custom solutions into scalable platform capabilities.
Directly engage with customers to identify operational challenges and design practical, scalable technical solutions using AI and software engineering.
Bachelor's Degree in Computer Science, Information Technology, Software Engineering, or related technical field.
Prior hands-on software development experience with Python and/or JavaScript/TypeScript.
Experience with APIs, backend systems, databases, and modern web applications.
Familiarity with AI/LLM technologies and ability to engage directly with customers and stakeholders.
Engineer comfortable working at the intersection of AI, software engineering, product, and customer interaction with high ownership and entrepreneurial mindset.
Experienced in translating business problems into AI-driven, scalable SaaS solutions with direct customer impact.
Thrives in fast-paced, startup environments and seeks to influence product strategy while building practical automation and AI capabilities.