AI Full Stack Engineer

Description

The company is a major semiconductor maker that produces memory and storage products, which turn raw data into usable intelligence.

The team builds internal software that makes engineering work faster and supports smarter business workflows. It uses full stack tools, cloud-native platforms, and AI-assisted development to ship scalable, secure, and dependable applications that run core business operations.

This role is for an AI Full Stack Engineer who designs, builds, and maintains applications where AI is central. The work blends full stack engineering with AI-native practices such as custom agents, prompt design, MCP integrations, and AI-assisted delivery to raise development speed and business results.

Responsibilities

• Own features across the whole lifecycle, designing, building, testing, deploying, and supporting full stack applications.
• Build personalized AI assistants that automate workflows, help with decisions, summarize content, and run multi-step business processes.
• Create integrations using Model Context Protocol (MCP) or similar frameworks so AI models, tools, and systems can work together.
• Connect applications to AI services such as LLMs, embeddings, search platforms, and RAG solutions, keeping them secure, reliable, scalable, and fast.
• Use AI-assisted tools for coding, testing, documentation, and refactoring without lowering engineering standards or code quality.

Requirements

• Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related technical field, plus 5+ years of software engineering experience.
• 3+ years building and supporting production full stack or backend applications with C, ASP.NET, Angular, REST APIs, and relational or NoSQL databases.
• 2+ years working with cloud-native technology, CI/CD pipelines, containers, and Kubernetes-based deployment.
• 1+ year of hands-on work designing and building AI-enabled solutions, such as custom agents, prompt engineering, RAG systems, or LLM integrations.
• Proven ability to design scalable architectures and own applications from design through deployment and ongoing operations.
• Preferred: 2+ years applying AI-assisted development to raise engineering productivity and shorten development cycles.
• Preferred: experience building custom agents with MCP or similar structured agent and tool orchestration frameworks.
• Preferred: track record deploying AI-enabled applications in mission-critical or high-availability settings with strict reliability requirements.
• Preferred: experience assessing, refining, and running AI-generated code and outputs in production.
• Preferred: experience building interoperable AI ecosystems that connect several models, tools, APIs, and data sources without tight coupling.

Conditions

The posting links to information about the right to work.

The company follows applicable labor laws and charges candidates no recruitment fees.

US applicants can ask the company's People Organization for help with the application process or reasonable accommodations.

Benefits

• Choice of medical, dental, and vision plans in all locations.
• Benefit programs that protect income if you cannot work due to illness or injury, plus paid family leave.
• Paid time off and paid holidays.
• A benefits guide with full details is available on the company careers site.