Principal Software Engineer

📋 Description

• Hands-on execution: architect and code backend services and ML pipelines.
• 0-to-1 development: build new internal products using LLMs and agent AI.
• Core intelligence models: design ML models for real-time sales recommendations.
• Infrastructure integration: connect quoting engine, Salesforce, and data lakes for low-latency flow.
• Technical problem solving: solve GTM synchronization and architecture at scale.
• Quality & mentorship: drive code reviews, automated testing, and engineering best practices.
• Build great products: turn goals into production-ready code with broad impact.
• Problem solve: anticipate product needs and evolve backend systems with AI strategy.
• Deliver quality: ensure reliability with deep observability in every service.

🎯 Requirements

• Deep backend expertise in Java, Go, Python with distributed systems.
• Applied AI/ML: hands-on ML with LLMs (LangChain, RAG, fine-tuning) in production.
• Technical complexity: integrate with custom quoting engines or CRM like Salesforce Apex/LWC.
• Systems architecture: design event-driven architectures with high-integrity data flows.
• Education: BS or MS in Computer Science or related field.

🎁 Benefits

• Hybrid work model for collaboration and flexibility.
• Competitive pay and benefits, including equity (if eligible).
• Accessible hiring process with accommodations.