Staff Software Engineer (AI)

TL;DR

Staff Software Engineer (AI): Building and optimizing 0-to-1 tools leveraging LLMs and Agentic AI to revolutionize sales team operations, with an accent on backend engineering and Machine Learning implementation. Focus on architecting high-performance backend services, designing ML models for real-time recommendations, and integrating complex enterprise software like Salesforce with internal data lakes.

Location: Remote, United States

Salary: $168,000–$269,000 USD

Company

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

What you will do

• Architect and code high-performance backend services and ML pipelines, focusing on hands-on execution.
• Build and prototype new internal products from scratch using LLMs and Agentic AI to automate account research, lead prioritization, and complex quoting logic.
• Design and implement ML models to provide real-time recommendations and increase deal velocity for sales users.
• Develop backend integrations between custom quoting engines, Salesforce, and internal data lakes for seamless data flow.
• Solve complex synchronization and architectural challenges across the Go-To-Market stack, ensuring scalability and resilience.
• Drive engineering excellence through code reviews, automated testing, and mentorship for junior engineers.

Requirements

• Extensive experience in backend languages (Java, Go, 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 high-integrity data flow across disparate systems.
• Bachelor’s or Master’s degree in Computer Science or a related technical field.

Nice to have

• Experience building internal "Sales Tech" or "Fintech" tools that directly impact revenue.
• Familiarity with AWS data services (SageMaker, Lambda, SQS).
• A passion for removing "human-in-the-loop" friction through intelligent automation.

Culture & Benefits

• Competitive compensation and benefits programs focusing on attracting, retaining, and motivating talent.
• Total rewards package includes cash compensation, benefits, and equity.
• The company value is to be hungry to build and learn, empowering employees with AI tools.
• Embraces a hybrid work model that fosters in-person collaboration while valuing individual needs.
• Committed to creating an accessible and inclusive hiring process, offering reasonable accommodations for disabilities.