Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Basic Data Analysis
Strong Written & Verbal Communication
Problem-solving
Project Leadership
Product Quality & Yield Analysis
Product Qualification
Test Program Update & Validation
Customer Return Containment
Teamwork
Flexibility and Adaptability
Bachelor’s Degree in Electrical Engineering or a closely related discipline from an accredited university.
Professional certification or licensure in electrical engineering is advantageous.
Comprehensive knowledge of infrastructure project requirements, especially within rail transit projects, including relevant statutory and safety regulations.
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Engineering: 10+ years professional software engineering. Strong CS fundamentals. Strong TypeScript/JavaScript and Python. Extensive backend engineering. React/Next.js. Production-scale systems, distributed systems, databases, data-intensive applications, production deployment and operations.
AI / Agentic Systems: strong hands-on experience with several of — Claude/Anthropic, LLM APIs, agentic workflows, tool-using agents, function calling, multi-agent systems, agent memory, RAG, planning systems, reflection loops, evaluation frameworks, autonomous workflows, AI experimentation, LLM observability, prompt optimization, model routing.
We are particularly interested in engineers who have built these systems themselves, not engineers who have only read about them. You should be able to show us production AI systems, agents executing real tasks, complex tool-use workflows, autonomous or semi-autonomous systems, AI evaluation systems, self-improving workflows, and large-scale distributed systems.
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