Job Description A large client company is seeking a seasoned Full Stack Software Engineer to help shape the future of AI enablement across the company. In this role, you'll leverage your expertise in modern software engineering to help build reusable, small components that integrate AI/ML into enterprise workflows. You'll partner with engineers, product managers, and stakeholders to drive business transformation through emerging technologies. This role will be onsite 4 days a week in Los Angeles, CA We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements • 10+ years of full-stack software engineering experience with a strong coding background in languages such as Python, TypeScript, Node.js, Go or similar   • Proficiency with AI/ML development tools, and experience integrating LLM-based APIs, AI agents, or prompt-based workflows   • Experience working with large-scale databases (SQL/NoSQL, Object, Graph, etc)   • Proven ability to write clear, concise technical documentation and create professional system architecture diagrams using tools like Lucidchart, Mermaid, or PlantUML   • Hands-on experience with cloud platforms (AWS, Azure or GCP), microservices architecture, CI/CD pipelines, test, development and deployment approaches, including containerization (Docker, Kubernetes), A/B testing, etc   • Strong communication skills technical and non-technical language to team members and stakeholders • AWS, GCP, or Azure certification   • Automation experience Previous start-up environment experience