Remotery

Principal Software Engineer – AI

Posted May 9

This is a fully remote position, open to applicants in California.

📋 Description

• Develop AI Agent Frameworks: Create internal agents, LLMs, and reasoning loops that enable AI agents to execute intricate, multi-step tasks.

• Create Core SaaS Features: Build robust, full-stack enterprise web components, ensuring the application maintains high performance and security.

• Data Engineering: Oversee and enhance the connection between our AI agents and data.

• Engineering Excellence: Produce clean, secure, and maintainable code while leading thorough code reviews and refactoring projects.

• Automated Testing: Design and implement unit and functional tests to guarantee the reliability of both traditional code and non-deterministic AI processes.


⛳️ Requirements

• AI Agent Architecture: Advanced capability to construct and manage autonomous agents that can plan, reason, and carry out multi-step tasks through reasoning loops (e.g., React).

• Orchestration: Proven experience in developing the internal logic and interface layers that enable LLMs to connect with APIs, databases, and system functions.

• AI Reliability & Testing: Hands-on experience in creating automated unit and functional testing suites specifically designed to validate outputs and workflows of non-deterministic AI agents.

• LLM Implementation: Significant experience in developing production-quality features utilizing LLM APIs (OpenAI, Claude, etc.), including context window management, prompt optimization, and cost monitoring.

• AI-Assisted Development: Expert-level proficiency in utilizing tools such as GitHub Copilot or Claude to enhance engineering speed and uphold high code quality.

• Data Layer for AI: Proficient in MySQL and relational databases, capable of writing complex, raw queries to supply high-scale enterprise data to agentic workflows.

• Backend Engineering: Over 5 years of experience with Python (Django, Flask) or PHP (Symfony, Laravel) to create the robust infrastructure necessary for AI-driven applications.

• Enterprise SaaS Foundations: Over 10 years of experience in software engineering, design patterns, and clean coding practices applicable to large-scale web applications.

• Model Lifecycle: Practical understanding of model evaluation, experiment tracking, and performance monitoring in a production setting.


🏝️ Benefits

• 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

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