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Convoso

Principal Software Engineer – AI

Convoso

. Develop internal AI agents, LLMs, logic, and reasoning loops for complex multi-step tasks .

Posted 10/5/2026full-timeRemote • United StatesLead💰 $200,000 - $230,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expert-level proficiency in developing and orchestrating autonomous AI agents, with a strong focus on building robust, high-performance web components and optimizing AI workflows. Capable of implementing effective testing strategies and managing complex integrations within enterprise SaaS applications.

Highest-signal resume keywords
Expert-Level AI Agent DevelopmentLLM API IntegrationAutomated Testing Suite CreationProficiency in MySQLGo Concurrency Patterns

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI Agent DevelopmentLLM API DevelopmentAutomated TestingMySQLGo ProgrammingLinux/POSIX SystemsWebSocketsGRPCClean Coding PracticesSoftware Engineering
Soft Skills
Problem-Solving
Tools & Technologies
GitHub CopilotOpenAIClaude
Industry Keywords
Enterprise SaaSTransactional State MachinesWebhook/Event PipelinesDefensive API IntegrationsObservability

Tech Stack

Tools & technologies
GRPCLinuxMySQLReactGo

About the role

Key responsibilities & impact
  • Develop internal AI agents, LLMs, logic, and reasoning loops for complex multi-step tasks
  • Engineer robust, full-stack enterprise web components with high performance and security
  • Manage and optimize the interface between AI agents and data
  • Write clean, secure, and maintainable code
  • Lead rigorous code reviews and refactoring initiatives
  • Design and implement unit and functional tests for traditional code and non-deterministic AI workflows
  • Build and scale AI agent systems within Convoso’s enterprise SaaS application
  • Develop core agentic logic, frameworks, and high-performance backend infrastructure for intelligent automation at scale

Requirements

What you’ll need
  • Expert-level ability to build and orchestrate autonomous agents capable of planning, reasoning, and executing multi-step tasks via reasoning loops (e.g., React)
  • Direct experience developing internal logic and interface layers that allow LLMs to interact with APIs, databases, and system functions
  • Hands-on ability to create automated unit and functional testing suites for non-deterministic AI agent outputs and workflows
  • Extensive experience developing production-grade features using LLM APIs such as OpenAI and Claude, including context window management, prompt optimization, and cost-monitoring
  • Expert proficiency using AI-assisted development tools such as GitHub Copilot or Claude
  • Proficiency in MySQL and relational databases, including complex raw queries
  • Strong grasp of Go concurrency patterns, memory management, garbage collection behavior, and profiling
  • Deep comfort with Linux/POSIX systems and TCP/UDP sockets, WebSockets, and gRPC
  • Experience designing transactional state machines, resilient webhook/event pipelines, and defensive API integrations
  • Experience writing integration tests and stress tests, instrumenting observability, and debugging end-to-end
  • 10+ years of experience in software engineering, design patterns, and clean coding practices applied to large-scale web applications
  • Practical knowledge of model evaluation, experiment tracking, and production performance monitoring
  • Strong problem-solving skills focused on translating business needs into prioritized technical development

Benefits

Comp & perks
  • 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)
  • Casual office environment & dress
  • Daily catered lunches
  • Fully stocked kitchen (Dietary restriction-friendly)
  • Happy Hours
  • On-site Car Wash
  • Free Parking
  • Equity for all eligible U.S full time roles
  • Competitive compensation package