Principal Software Engineer (AI)

TL;DR

Principal Software Engineer (AI): Building and optimizing 0-to-1 tools designed to revolutionize how sales teams operate, leveraging backend engineering and Machine Learning implementation. Focus on architecting and coding high-performance backend services and ML pipelines, designing and implementing ML models that provide real-time recommendations, and solving complex synchronization and architectural challenges across the GTM stack.

Location: Remote, United States

Salary: $200,000–$320,000 USD

Company

hirify.global creates technology to help restaurants and local businesses succeed in a digital world, helping business owners operate, increase sales, engage customers, and keep employees happy.

What you will do

• Architect and code high-performance backend services and ML pipelines, spending the majority of time hands-on.
• Build and prototype new internal products from scratch leveraging LLMs and Agentic AI for automation.
• Design and implement core ML models that provide real-time recommendations to sales users.
• Develop backend connective tissue between custom quoting engine, Salesforce, and internal data lakes.
• Act as a domain expert to solve complex synchronization and architectural challenges across the GTM stack.
• Drive engineering excellence through rigorous code reviews, automated testing, and mentorship for junior engineers.

Requirements

• Extensive backend expertise in Java, Go, or Python with a track record of building complex, distributed systems.
• Practical, hands-on experience deploying Machine Learning models and building with LLMs (e.g., LangChain, RAG architectures, or Model Fine-tuning) in a production environment.
• Experience building or deeply integrating with complex enterprise software, specifically custom quoting engines or CRM internals (Salesforce Apex/LWC).
• Ability to design event-driven architectures and manage data flow across disparate systems with high integrity.
• Bachelor’s or Master’s degree in Computer Science, or a related technical field.
• Must be authorized to work in the United States.

Nice to have

• Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue.
• Familiarity with AWS data services (SageMaker, Lambda, SQS).

Culture & Benefits

• Competitive compensation and benefits programs, including cash compensation, benefits, and equity.
• Opportunity to learn new AI tools to build faster, more independently, and with higher quality.
• Hybrid work model that fosters in-person collaboration while valuing individual needs.
• Commitment to Diversity, Equity, and Inclusion through authenticity, inclusivity, respect, and humility.
• Use of AI tools to support recruiters and interviewers for tasks like note-taking and summarization.