Related skills
salesforce java python go apexπ Description
- Hands-on keyboard: architecting and coding high-performance backend services and ML pipelines.
- 0-to-1 development: prototype internal products using LLMs and Agentic AI for automation.
- Core intelligence models: design ML models for real-time sales recommendations.
- Infrastructure integration: connect the quoting engine with Salesforce and data lakes for low-latency end-to-end.
- Technical problem solving: tackle complex GTM stack synchronization with scalable architecture.
- Quality and mentorship: drive code reviews, automated tests, and engineering best practices.
π― Requirements
- Deep backend expertise: Java, Go, Python; distributed systems.
- Applied AI/ML skills: deploy ML models and build with LLMs (LangChain, RAG, fine-tuning).
- Technical complexity: integrate with enterprise software and CRM internals (Salesforce Apex/LWC).
- Systems architecture: design event-driven data flows across disparate systems with high integrity.
- Education: Bachelor's or Master's in CS or related field.
π Benefits
- Hybrid work model fostering in-person collaboration.
- Inclusive hiring with accommodations available.
- Total rewards with benefits and equity (if eligible).
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