Principal Software Engineer

Lead Remote Posted 1 day ago Remote First Jobs  Product

AI summary:Builds and scales AI agent frameworks, backend infrastructure, data integrations, and full-stack SaaS features.

Convoso is a leading AI-powered contact center platform purpose-built for revenue teams. Since 2006, Convoso has remained at the forefront of innovation, consistently developing solutions to drive customer growth while supporting adherence to regulatory standards.

While headquartered in Los Angeles, the Convoso team can be found around the globe working in either a hybrid or remote capacity. Awarded as a “best place to work” company, our culture fosters team integrity, positive persistence, and continuous growth.

Our core platform powers successful sales teams across multiple industries, giving our customers a competitive edge and streamlined productivity. With built-in Al and automations, our product is a premium offering in a competitive space. We continue to grow our product capabilities to better serve our current customers and to expand into newer markets.

Convoso is looking for people who are excited about technology and innovation. We are a company of motivated team players with diverse backgrounds driving accelerated growth in a supportive, positive culture.

Most roles at Convoso function as “hybrid” with some opportunities for travel to in-person business events and company meetings. For remote positions, Convoso’s U.S. hiring is open to candidates residing anywhere within the United States.

We are looking for an experienced Principal Software Engineer to build and scale the AI agent systems within our enterprise SaaS application. In this role, you will be responsible for the core engineering of agentic logic, frameworks, and the high-performance backend infrastructure required to support intelligent automation at scale.

• 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.

• 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 specifically 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 Git Hub 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 .
• Netw…