> Markdown version of [/jobs/ext/4215061-ai-solutions-developer](https://www.wearedevelopers.com/jobs/ext/4215061-ai-solutions-developer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Solutions Developer - **Company:** VDart, Inc. - **Location:** Phoenix, AZ, United States - **Contract:** Temporary to permanent - **Skills:** JavaScript (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Cloud Computing, Computer Programming, Continuous Integration, Extract Transform Load (ETL), Data Transformation, Relational Databases, Python (Programming Language), Standard Sql, SQL Databases, TypeScript, Data Processing, Cloud Platform System, Large Language Models, Core Api, Git, Software Version Control, Data Pipelines - **Published:** October 31, 2026 - **Apply:** https://www.careerjet.com/jobad/usfbac690af004f0fcdc1cfae864eeef2e ## About the Role * Practical coding proficiency (e.g., Python, JavaScript/TypeScript) and comfort building end-to-end, not just writing snippets. * SQL. Strong SQL abilities - querying, joining, and transforming data across relational databases. * APIs. Demonstrated experience integrating third-party and platform APIs to move and transform real business data. * Automation. Hands-on experience building automations and workflow tooling that replace manual processes. * AI/LLM. Direct, hands-on experience with AI and large-language-model tools and APIs, and sound judgment about where AI genuinely helps versus where it does not. * Cloud infrastructure. Experience managing infrastructure on AWS, Azure, or an equivalent cloud platform. * CI/CD. Experience setting up CI/CD pipelines and developer automations. * Version control. Experience with version control systems such as Git. * The ability to translate a vague business need into a concrete, shippable tool - and to communicate clearly with non-technical stakeholders. * Sound judgment around data handling, security, and confidentiality. Nice to Have * Experience in a regulated industry (financial services, ARM/collections, healthcare, insurance). * Data-pipeline, ETL, or reporting-automation experience. * Awareness of data-privacy and information-security frameworks (e.g., SOC 2).