Agentic AI Business Applications Developer

Key Responsibilities

• Capability Design & AI Interface Architecture: Design AI interface layer, make decisions on live retrieval vs. caching vs. staging vs. structured storage; implement MCP-based interfaces; design typed request/response contracts.
• Security, Governance & Access Control: Design governed access using RBAC, SSO; ensure authentication, authorization, audit logging, rate limiting for every capability.
• Enterprise Systems & Data Integration: Connect AI to enterprise platforms (analytics, collaboration, graph APIs, relational databases); write Python and SQL; understand business processes behind data.
• AI Output Quality & Evaluation: Design and run evaluation frameworks (accuracy, relevance, groundedness, hallucination rates); diagnose root causes of poor outputs.
• Documentation, Patterns & Enablement: Build production-quality documentation; develop reusable patterns; train team members; stay current with AI tooling/agent ecosystem.

Preferred Qualifications

• Experience in systems design, API development, platform engineering, or solutions architecture; integrating with enterprise business platforms;
• Working knowledge of RBAC, SSO;
• Python and SQL proficiency;
• Hands-on API design (OpenAPI, JSON Schema, REST, GraphQL) in production;
• Active daily use of AI developer tools as a builder;
• Able to decompose business processes;
• Track record of shipping production-grade systems;
• Experience implementing/configuring MCP servers or AI agent tool/skill definitions;
• Designing AI evaluation frameworks;
• Background in semiconductor/high-tech manufacturing;
• Familiarity with RAG architectures;
• Experience in business-embedded, non-IT team making independent integration decisions.

Academic Credentials

Bachelor's degree in Computer Science, Software Engineering, Information Systems, or related technical field.