Principal Engineer (AI)

TL;DR

Principal Engineer (AI): Building and scaling critical features within the Agentforce platform, leveraging AI agents for enterprise solutions with an accent on integrating AI technologies and real-time communication. Focus on software design, architecture discussions, and leading junior team members to drive technical excellence.

Location: San Francisco, Seattle, Palo Alto.

Company

hirify.global is a platform for enterprises, enabling a limitless workforce through AI agents for any department.

What you will do

• Build, scale, and maintain critical features and systems within the Agentforce platform used by millions of end-users.
• Translate customer/business requirements into elegant, flexible, and easy-to-use platform capabilities.
• Lead and participate in Software Design and Architecture discussions and decision making.
• Drive the execution and delivery of features and systems by collaborating with architects, product owners, engineers, user experience designers, and data scientists.
• Develop and approve test strategies, design automation frameworks, write unit and functional tests to drive up code coverage and automation goals.
• Lead and mentor junior members of the team, and act as a Technical Leader for teams.

Requirements

• A related technical degree required.
• 7+ years of hands-on experience building, scaling, and maintaining large-scale, complex distributed systems in the B2B (or B2C) SaaS space that scales for millions of users and is available 24x7.
• In-depth working knowledge of Go and Python.
• Solid experience in developing/maintaining large-scale microservices using public cloud technologies such as AWS, Azure, GCP, or hirify.global.
• Experience in REST-based API development, API lifecycle management, and/or client SDKs development.
• Experience in test-driven development with a focus on unit testing, integration testing, and end-to-end automation.

Nice to have

• Experience with ASR, TTS, Telephony technologies.
• Experience with modern AI/ML frameworks, systems, libraries, and patterns.
• Experience with websockets, gRPC, protobuf.
• Experience with Python, Java/J2EE technologies such as Spring, Spring Boot, Hibernate, and EJB.
• Experience with Data model design and familiarity with SQL and NoSQL.

Culture & Benefits

• Collaborative environment that values transparent communication, critical feedback, and passion.
• Opportunity to collaborate with Einstein researchers and data scientists.
• Adopt, embrace, and promote agile and test-driven software development practices.
• Be a multiplier and have a passion for team and team members’ success.