Afresh

Engineer

• Partner with Afresh's account lead and customer technical teams to scope and architect data sources, architecture, and production delivery paths
• Embed with customer data and engineering teams remotely and on-site
• Integrate into customer cloud and data platforms
• Build production-grade pipelines and model messy enterprise data into trustworthy data products
• Design and ship production-ready LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents
• Harden field learnings into the shared platform's knowledge and grounding layer, agent frameworks, and serving infrastructure
• Build evaluations, tracing, and tooling to measure accuracy, hallucination rate, latency, and cost
• Create clean interfaces and reusable building blocks rather than one-off customer code
• Own the feedback loop between customer deployments and platform improvements

Staff Forward Deployed Engineer

Backend Engineer

• Own development of the next-generation, flagship AI grocery ordering product
• Define the architectural roadmap for next-generation systems
• Lead the design, buildout, and deployment of scalable, robust APIs and backend systems
• Make critical architectural decisions shaping the platform and product
• Collaborate with engineers, Designers, and Product Managers
• Partner with Product, Account Management, and peer engineering teams to deliver integrated client solutions
• Grow a product used daily in thousands of grocery stores across the country
• Build with AI development tools and the latest technologies

Staff Backend Engineer

• Partner with Afresh's account lead and customer technical teams to scope and architect work, including data sources, architecture, and production path
• Embed with customer data and engineering teams remotely and on-site
• Integrate into customer cloud and data platforms
• Build production-grade pipelines and model messy enterprise data into trustworthy data products
• Design and ship production-ready LLM- and agent-powered systems, including retrieval, agentic workflows, data-quality agents, and analytics agents
• Harden field solutions into the shared platform, including knowledge graphs, ontologies, retrieval, agent frameworks, and serving infrastructure
• Build evaluations, tracing, and tooling to measure accuracy, hallucination rate, latency, and cost
• Create clean interfaces and reusable building blocks rather than one-off customer code
• Feed field learnings into the platform and apply platform improvements to future customers

Staff Forward Deployed Engineer

Staff Backend Engineer

Senior Forward Deployed Engineer