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Founding Applied AI Engineer

Alldus
New York, NY
On-siteUSD 150,000 - 225,000 / year

About this role

Alldus

Responsibilities

  • Build and launch end-to-end product features, spanning backend services, AI workflows and customer-facing React applications.

  • Develop the systems that enable AI agents to operate effectively, including context handling, tool execution, orchestration, persistent state and human approvals.

  • Create APIs, integrations and data pipelines linking point-of-sale, accounting, payroll and other business systems.

  • Convert invoices, recipes, supplier catalogues and inventory records into accurate, structured data.

  • Design evaluations around real customer workflows and diagnose issues across model outputs and tool interactions.

  • Strengthen agent reliability through effective error recovery and escalation processes.

  • Use production results to guide model selection and improve accuracy, completion rates, response times and operating costs.

  • Engage with customers to understand their operational needs and translate feedback into practical product enhancements.

  • Help shape system architecture, product priorities and engineering practices as the business grows.

  • Skillset

  • Strong technical expertise in LLM and agentic applications, backend and data systems, or React product development.

  • Proficiency in Python or JavaScript/TypeScript, with a willingness to develop across both.

  • Experience delivering production AI agents, including tool integration, context management, persistent state, error recovery and evaluations.

  • An understanding of different AI models and providers, and how their strengths and limitations influence architecture and performance.

  • Experience developing and operating cloud applications on AWS, GCP, Azure or similar platforms.

  • A track record of building substantial software and explaining the technical decisions behind it; startup work, personal projects and open-source contributions are welcome.

  • Experience building data pipelines and working with SQL or document databases to manage incomplete or inconsistent information.

  • Strong engineering practices, including version control, maintainable code, effective testing and systematic debugging.

  • A product-focused mindset, with the initiative to understand customer needs, challenge assumptions and take ownership of delivery.

Benefits

  • Salary: $150k – $225k.

  • Equity.

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