Senior/Lead/Principal Software Engineer (AI)
Мэтч & Сопровод
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Описание вакансии
TL;DR
Senior/Lead/Principal Software Engineer (AI): Building and scaling an AI-powered platform for supply chain automation and business process design with an accent on backend architecture, data integration, and AI agent orchestration. Focus on decomposing complex domains, optimizing ETL pipelines, and ensuring enterprise-grade reliability and scalability.
Location: Washington (Seattle), New York (New York), California (San Francisco)
Company
is a global leader in CRM and enterprise cloud solutions, currently reimagining supply chain operations with Agentforce.
What you will do
- Design and scale the Super Agent backend, managing complex state transitions and observability.
- Architect mission-critical data integration backbones connecting the platform to Mulesoft, Flow, and Data Cloud.
- Implement high-performance ETL/ELT pipelines for automated customer data synchronization.
- Build performant customer-facing APIs and webhooks, abstracting complex GraphQL endpoints.
- Orchestrate complex systems where AI agents integrate seamlessly into human workflows.
- Mentor engineers and drive technical standards for backend architecture and AI-driven development.
Requirements
- Experience: 3+ years (Senior), 5+ years (Lead), or 8+ years (Principal) in backend engineering.
- Expertise in data modeling, DB performance tuning, API design, and distributed systems.
- Proficiency in at least one modern language: Java, Python, or Go.
- Proven track record of building production-grade data pipelines (ETL/ELT).
- AI-first approach: proficiency with AI tools (Claude Code, GitHub Copilot, Cursor) and advanced prompt engineering.
- Related technical degree.
Nice to have
- Mastery of Golang, GraphQL, and PostgreSQL.
- Experience with technologies such as Mulesoft or Data Cloud.
- Knowledge of event streaming platforms (Kafka, Kinesis) and Kubernetes.
- Background in supply chain, logistics, or manufacturing industry.
Culture & Benefits
- High autonomy and real ownership within an "intentional startup speed" environment.
- Opportunity to work on one of the most technically challenging backends at .
- Integration of AI as a core part of the development workflow.
- Collaborative culture focused on low-ego partnership and high engineering standards.
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