Related skills
java lambda python go llm๐ Description
- Hands-on execution: architecting and coding high-performance backend services and ML pipelines.
- 0-to-1 development: build internal products from scratch using LLMs and Agentic AI for research, prioritization, and quoting.
- Infrastructure integration: connect the backend between quoting engine, Salesforce, and data lakes for low-latency end-to-end experience.
- Technical problem solving: resolve synchronization and architectural challenges across the GTM stack.
- Build great products: translate high-level goals into production-ready code with broad impact.
- Deliver quality: bake in observability to ensure reliability of GTM tools.
๐ฏ Requirements
- Deep backend expertise in Java, Go, Python; building distributed systems.
- Applied AI/ML skills: hands-on experience building LLM agents in production.
- Systems architecture: event-driven architectures and data flow across disparate systems.
- Education: Bachelor's or Master's in Computer Science or related field.
๐ Benefits
- Hybrid work model with 2 in-office days per week in Dublin.
- Competitive compensation and benefits package.
- Commitment to diversity, equity, and inclusion within a collaborative culture.
- Access to Toast AI tools across engineering, product, sales, and support.
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