TL;DR
Staff Software Engineer (AI): Building 0-to-1 internal tools that leverage AI to revolutionize sales operations with an accent on backend engineering and Machine Learning implementation. Focus on architecting high-performance backend services, designing and implementing ML models for real-time recommendations, and integrating complex enterprise software.
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.
What you will do
- Architect and code high-performance backend services and ML pipelines.
- Build and prototype new internal products from scratch leveraging LLMs and Agentic AI.
- Design and implement ML models that provide real-time recommendations to sales users.
- Develop the backend connective tissue between custom quoting engine, Salesforce, and internal data lakes.
- Solve complex synchronization and architectural challenges across the Go-To-Market stack.
- Drive engineering excellence through rigorous code reviews and automated testing.
Requirements
- Deep Backend Expertise: Extensive experience in Java, Go, or Python with a track record of building complex, distributed systems.
- Applied AI/ML Skills: 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.
- Technical Complexity: 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.
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
- Embrace a hybrid work model that fosters in-person collaboration while valuing individual needs.
- Competitive compensation and benefits programs, including equity.
- Opportunity to learn new AI tools and apply them to build for customers faster and with higher quality.
- Committed to Diversity, Equity, and Inclusion with equitable opportunities for all.
- Hiring process supported by AI tools for recruiter/interviewer tasks, with human decision-making.
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