Senior AI Agent Engineer — Production LLM Systems

Big Wave Digital - USA; San Jose (CA); On-site; USD 180,000 - 320,000; Full time

Benefits offered by this job

Equity

Relocation Support

Job summary

Big Wave Digital - USA is seeking a senior software engineer to build production AI agents for hardware engineering, focusing on orchestration, memory, and robust evaluation of performance and efficiency. You will analyze traces and experiments and work directly with customers to turn research into maintainable, production-grade software.

Requirements: 8–15 years of software engineering, staff-plus capability, deep experience with large-scale LLM agent systems, and production experience in

Qualifications

• 8–15 years of software engineering experience, staff-plus capability.
• Substantial experience with large-scale LLM agent systems and production expertise in Python and TypeScript.
• Candidate should have a degree from a top university and strong customer-facing/ownership skills.

Responsibilities

• Build production AI agents for hardware engineering, including capabilities, orchestration, tools, memory, and rigorous performance evaluations.
• Analyze traces and experiments; work directly with customers to solve problems.
• Turn research into maintainable, tested, production-grade software.

Skills

Python

TypeScript

LLM Agents

Agent Orchestration

Tool Interfaces

Context Management

Memory Systems

Agent Evaluation

Tracing

ML Inference

Transformer Architectures

Production Software Engineering

Customer Engagement

Electronic Design Automation

Semiconductor Engineering

RTL

Education

Bachelor's degree

Job description

Big Wave Digital - USA is seeking a senior software engineer to build production AI agents for hardware engineering, focusing on orchestration, memory, and robust evaluation of performance and efficiency. You will analyze traces and experiments and work directly with customers to turn research into maintainable, production-grade software.

Requirements: 8–15 years of software engineering, staff-plus capability, deep experience with large-scale LLM agent systems, and production experience in