10+ years of experience in software engineering and enterprise SaaS applications.
Expertise in building AI agent architectures and orchestration for multi-step tasks.
Proficiency in MySQL and relational databases for complex queries.
Strong understanding of Go concurrency patterns and memory management.
Hands-on experience with LLM APIs and automated testing for AI workflows.
Responsibilities
Build AI agent frameworks for complex task execution.
Develop core SaaS features ensuring performance and security.
Manage and optimize data interfaces for AI agents.
Write clean, maintainable code and lead code reviews.
Design automated testing suites for AI and traditional code.
Benefits
100% covered premiums for medical, dental, and life insurance.
Generous PTO, paid sick time, and parental leave.
Monthly gym membership reimbursement and food credits.
Casual office environment with daily catered lunches.
401k program with a generous company match.
Full Job Description
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!
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.
