Principal AI Engineer — Scalable Agent Frameworks (Remote)

Convoso; Los Angeles (CA); Hybrid; USD 200,000 - 230,000; Full time

Benefits offered by this job

Competitive compensation package

Stock options

401k match

Medical, Dental, Vision

Job summary

Convoso, a leading AI-powered contact center platform, seeks a Principal Software Engineer to build and scale AI agent systems for our enterprise SaaS product. You will own core engineering of agent logic, frameworks, and the high-performance backend required for intelligent automation at scale.

You will architect autonomous agents, integrate LLMs with APIs and data stores, and drive reliability through automated tests and rigorous reviews.

Qualifications

• 10+ years of software engineering for large-scale web apps.
• Experience delivering production-grade AI/ML features.
• Strong problem-solving and prioritization for enterprise SaaS.

Responsibilities

• Build AI Agent Frameworks: develop internal agents, LLMs, and reasoning loops.
• Develop Core SaaS Features: engineer robust, full-stack enterprise components with high performance and security.
• Data Engineering: manage interfaces between AI agents and data sources.
• Engineering Excellence: write clean, secure code, lead reviews and refactoring.
• Automated Testing: design unit and functional tests for traditional and AI workflows.

Skills

Agent architecture

Orchestration

AI reliability & testing

LLM implementation

AI-assisted development

Data layer for AI

Production Go at scale

Linux systems

High-reliability & data integrity

Production ownership

Tools

Go

MySQL

Linux

WebSockets

gRPC

OpenAI API

Claude

Job description

Convoso, a leading AI-powered contact center platform, seeks a Principal Software Engineer to build and scale AI agent systems for our enterprise SaaS product. You will own core engineering of agent logic, frameworks, and the high-performance backend required for intelligent automation at scale.

You will architect autonomous agents, integrate LLMs with APIs and data stores, and drive reliability through automated tests and rigorous reviews.