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Senior AI Full Stack Engineer

Job

Info Dinamica Inc

San Jose, CA (In Person)

Full-Time

Posted 2 days ago (Updated 6 hours ago) • Actively hiring

Expires 6/29/2026

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Job Description

Senior Full Stack Developer (AI Solutions)Role OverviewWe are looking for a proactive, high-ownership Senior Full Stack Developer to join our AI solutions team. In this role, you will design, develop, and scale end-to-end AI-powered applications, integrate automated workflows, and build intuitive user-facing experiences.

This role requires a strong engineering mindset combined with solution-oriented thinking. Beyond implementation, you will be expected to identify architectural bottlenecks, propose scalable improvements, and work closely with stakeholders to translate evolving business requirements into reliable technical solutions.

The ideal candidate thrives in fast-moving, client-facing environments and demonstrates strong accountability, analytical depth, and independent problem-solving capabilities.

Key ResponsibilitiesAI & Backend DevelopmentDevelop and maintain scalable backend services using Python for AI model integration, workflow orchestration, data processing, and API development.

Integrate AI/LLM-based capabilities into enterprise applications and internal platforms.

Ensure application reliability, performance optimization, and maintainable architecture.

Frontend DevelopmentDesign and develop responsive, user-friendly interfaces using AngularJS / Angular and modern JavaScript (ES6+).Collaborate with product and design teams to create intuitive user experiences for AI-driven applications.

Workflow Automation & IntegrationsLeverage Google AppScript to automate internal workflows and integrate G-Suite tools with core business applications and AI systems.

Build custom automation solutions to improve operational efficiency and reduce manual effort.

Full Stack OwnershipContribute across the complete Software Development Lifecycle (SDLC) including requirement analysis, design, development, testing, deployment, and production support.

Work closely with QA, DevOps, architects, and business stakeholders to ensure smooth delivery and operational stability.