6 open roles
Principal Software Engineer - AI
$200k to $230k
Against the United States typical range
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. Convoso currently employs remote team members in several U.S. states, including AL, AZ, CA, CO, CT, FL, GA, IL, IN, KY, MA, MI, NC, NJ, NV, NY, OH, PA, SC, TX, UT, VA. We welcome applications from candidates across the United States. Employment in states where Convoso is not currently registered may require additional review and setup before employment can begin.
The Job:
We are looking for an experienced Principal Software Engineerto build and scale theAI 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 inMySQL and relational databases, with the ability to write complex, raw queries to feed high-scale enterprise data into agentic workflows.
- Backend Engineering:5+ years of experience withPython (Django, Flask)orPHP (Symfony, Laravel) to build the robust infrastructure required for AI-driven applications.
- 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.
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 https://www.convoso.com/privacy-policy/ .
Description copied from Convoso's careers page. Read the full posting before you apply.
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