Senior/Staff Software Engineer, AI Systems

TREQS; San Francisco (CA); On-site; USD 150,000 - 210,000; Full time

Benefits offered by this job

Competitive equity

Strong benefits

Job summary

TREQS is seeking an engineer to build and maintain agentic systems that automate complex professional workflows. You will redesign task orchestration, build evaluation systems for quality control, and ensure robust observability for production agents.

Ideal candidates have 4+ years shipping production software with deep backend and AI/ML expertise, fluency in Python and TypeScript, and strong skills in workflow orchestration and async systems.

Qualifications

• 4+ years shipping production software with backend and AI/ML expertise beyond basic chat.
• Fluent in Python and TypeScript with strong workflow orchestration and async systems skills.
• Experience applying LLMs to real-world automation and evaluation tasks.

Responsibilities

• Build and maintain agentic systems and infrastructure to automate complex professional workflows.
• Redesign task orchestration for improved reliability and efficiency.
• Build evaluation systems for quality control of production agents.
• Ensure observability and monitoring for production agents.

Skills

Python

TypeScript

LLMs

Backend development

AI/ML application

Workflow orchestration

Agentic systems

Evaluation systems

Event pipelines

Infrastructure

Observability

Debugging

Latency management

Cost management

Supervision APIs

Job description

You will build and maintain agentic systems and infrastructure to automate complex professional workflows, including document drafting and evidence review. This involves redesigning task orchestration, building evaluation systems for quality control, and ensuring observability for production agents.

Requirements: Candidates must have 4+ years of experience shipping production software with deep backend and AI/ML expertise, specifically with LLMs beyond basic chat. You should be fluent in Python and TypeScript and possess strong skills in workflow orchestration and async systems.

Key Skills: Python, TypeScript, LLMs, Backend development, AI/ML application, Workflow orchestration, Agentic systems, Evaluation systems, Event pipelines, Infrastructure, Observability, Debugging, Latency management, Cost management, Supervision APIs

Benefits: Competitive equity, Strong benefits