Job description

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. Who We Are: 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. The Job: 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. Responsibilities summary: 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. Who You Are: 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 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. Nice-to-Haves (domain experience): Real-time audio, WebRTC, VoIP (SIP/RTP), or media streaming Work Perks Worth The Hype: Competitive compensation package Stock options 100% covered premiums for employees; Medical, Dental, Basic life insurance, Long term disability Affordable Vision plan and optional FSA PTO, Paid Sick Time, Holidays, Bereavement time, Parental Leave Your birthday off 401k program with generous company match No cost Employee Assistance Program and Travel Assistance Monthly Gym membership reimbursement Monthly credits toward food & beverage Company Outings On and offsite team building events Paid training for departments Apple laptop (most roles) And a team of highly experienced and kind colleagues! HQ Office: Casual office environment & dress Daily catered lunches Fully stocked kitchen (Dietary restriction-friendly) Happy Hours On-site Car Wash Free Parking Compensation: The base salary range is: $200,000 - $230,000 The Base Pay Range for this position is based on the industry benchmark for position, function, level and the company's compensation strategies. However, final offers may vary from the amount listed based on geography, candidate experience and expertise, and other objective business. Convoso’s compensation package also includes equity for all eligible U.S full time roles and exceptional benefits, including generous 401k match. Your California Privacy Rights: As a California resident who is an applicant to be an employee of Convoso, you have certain rights under California law with respect to information collected by Convoso in the course and scope of its evaluation of your application. The types of information Convoso collects and your rights with respect to that information are contained in Convoso’s privacy policy, which you can review by going to convoso.com .

Requirements

Must-haves

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 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.
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.
Real-time audio, WebRTC, VoIP (SIP/RTP), or media streaming
Competitive compensation package
Affordable Vision plan and optional FSA
Your birthday off
Monthly credits toward food & beverage
Company Outings
On and offsite team building events
Paid training for departments

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aireactllmgoapi

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401k

Pto

Parental Leave