Principal AI Agent Architect - Remote

Convoso; Los Angeles (CA); Hybride; USD 200 000 - 230 000; Plein temps

Avantages offerts par ce poste

Stock options

401k match

Full health insurance

Paid time off

Annual company bonus

Résumé du poste

Convoso is seeking a Principal Software Engineer to build and scale AI agent systems within our enterprise SaaS platform. You will own core engineering of agentic logic, frameworks, and high-performance backend infrastructure to support intelligent automation at scale.

Role requires expert-level AI agent architecture, orchestration, LLM integration, and production-grade Go and data-layer work with MySQL. Hybrid/remote US-based applicants encouraged to apply, with travel to in-person events

Qualifications

• AI Agent Architecture: Expert-level ability to build and orchestrate autonomous agents capable of planning, reasoning, and executing multi-step tasks via reasoning loops (e.g., React).
• Orchestration: Direct experience developing the internal logic and interface layers that allow LLMs to interact with APIs, databases, and system functions.
• AI Reliability & Testing: Hands-on ability to create automated unit and functional testing suites designed to validate non-deterministic AI agent outputs and workflows.
• LLM Implementation: Extensive experience developing production-grade features using LLM APIs (OpenAI, Claude, etc.), including context window management, prompt optimization, and cost-monitoring.
• AI Assisted Development: Expert proficiency in using tools like GitHub Copilot or Claude to accelerate engineering velocity and maintain high code quality.
• Data Layer for AI: Proficiency in MySQL and relational databases, with the ability to write complex, raw queries to feed high-scale enterprise data into agentic workflows.
• Production Go at scale: Strong grasp of Go concurrency patterns, memory management, garbage collection behavior, and profiling .
• Network & Systems Fundamentals: Deep comfort with Linux/POSIX systems, networking primitives (TCP/UDP sockets, WebSockets, gRPC)
• High-reliability & Data Integrity: Proven experience designing transactional state machines, resilient webhook/event pipelines, and defensive API integrations.
• Production Ownership: Engineers who write integration tests, stress tests, instrument their own observability and debug end-to-end.
• Enterprise SaaS Foundations: 10+ years of experience in software engineering, design patterns, and clean coding practices to large-scale web applications.
• Model Lifecycle: Practical knowledge of model evaluation, experiment tracking, and performance monitoring in a production environment.
• Business Prioritization: Strong problem-solving skills focused on translating complex business needs into prioritized technical development.

Responsabilités

• Build AI Agent Frameworks: Develop the internal agents, LLMs, logic and reasoning loops, that allow AI agents to perform complex, multi-step tasks.
• Develop Core SaaS Features: Engineer robust, full-stack enterprise web components, ensuring high performance and security across the application.
• Data Engineering: Manage and optimize the interface between our AI agents and data.
• Engineering Excellence: Write clean, secure, and maintainable code and lead rigorous code reviews and refactoring initiatives.
• Automated Testing: Design and implement unit and functional tests to ensure the reliability of both traditional code and non-deterministic AI workflows.

Connaissances

AI Agent Architecture

Orchestration

AI Reliability & Testing

LLM Implementation

AI Assisted Development

Data Layer for AI

Production Go at scale

Network & Systems Fundamentals

High-reliability & Data Integrity

Production Ownership

Enterprise SaaS Foundations

Model Lifecycle

Business Prioritization

Outils

MySQL

Go

Linux

WebSockets

gRPC

Description du poste

Convoso is seeking a Principal Software Engineer to build and scale AI agent systems within our enterprise SaaS platform. You will own core engineering of agentic logic, frameworks, and high-performance backend infrastructure to support intelligent automation at scale.

Role requires expert-level AI agent architecture, orchestration, LLM integration, and production-grade Go and data-layer work with MySQL. Hybrid/remote US-based applicants encouraged to apply, with travel to in-person events