David develops evidence-based nutrition products, launched a 28g‑protein, zero‑sugar, 150‑calorie protein bar, appointed Dr. Peter Attia as Chief Science Officer, and acquired Epogee for plant‑based EPG supply.
Company: David creates tools to increase muscle and decrease fat. Our first product is a protein bar. More broadly, David is a platform to develop high-protein, low-calorie, blood-sugar-friendly foods that are craveable. This is a compelling opportunity to join an exciting new food brand as we enter a critical growth stage. David is led by CEO Peter Rahal, the Cofounder and Former CEO of RXBAR ($600M exit to Kellogg in 2017). We have strong aspirations to become the most popular high-protein bar in North America and beyond. Roles & Responsibilities: The Software Engineer, AI & Internal Tools will serve as one of the company's primary builders of internal tools, automated workflows, and AI-powered systems. This role will identify high-leverage opportunities, architect solutions that scale, and influence how the company adopts AI / new technology. In doing so, this role will help systematically eliminate manual, repetitive work across the organization with reliable, programmatic solutions by working on building AI-powered internal workflows, capabilities, and tools that significantly improve our operations. This role is open across experience levels. Internal tools & application development Design, build, and maintain internal tools that replace manual processes across Finance, Operations, Growth, Retail, and Supply Chain. Write production-quality code in Python and/or TypeScript; pick the right language and framework for the problem. AI workflows and agent orchestration Design and deploy AI-powered workflows for document parsing, data extraction, classification, summarization, and decision support. Build and orchestrate AI agents using LLM APIs, agent frameworks, MCP connectors, and RAG, including tool orchestration, routing logic, and guardrails. Implement evaluation frameworks and human-in-the-loop patterns to ensure reliability and accuracy of AI-driven outputs. Manage credentials, sensitive data, and third-party integrations, and design workflows with appropriate access controls and guardrails. Data pipelines & infrastructure Co-own data pipelines and dbt models that move data from source systems into BigQuery and transform it into clean, analytics-ready datasets. Troubleshoot pipeline / data quality issues, and support new integrations as we onboard additional platforms. Automate and maintain reporting that finance, ops, and leadership rely on: dashboards, recurring reports, and ad hoc analyses to answer business questions. Requirements Minimum 2 years of professional experience in software engineering, data engineering, or a closely related technical role. Technical proficiency: Strong proficiency in Python / TypeScript: you write clean, testable, production-grade code with proper testing, version control, and CI/CD. Production experience with at least one full-stack web framework (Next.js / React preferred) and one relational database (Postgres preferred). Fluency with modern AI tooling: LLM APIs (Claude, GPT), agent frameworks, context engineering, RAG, MCP, tool use, and structured outputs. A track record of building tools, systems, or automations that other people actually use in a professional setting, a side project, or an open-source contribution. The ability to operate independently while clearly communicating priorities and initiatives to the rest of the team. Humble, self-aware, and curious. A desire to build an early stage CPG company with a mission to help people increase muscle and decrease fat. Benefits This is a full-time role. Salary: $150K - $250K per year, inclusive of cash bonus based on attainment of company targets Company equity opportunity 100% covered Health, Vision, Dental Insurance 401(k) Additional perks, such as covered gym expenses Substantial and required PTO We work in the office 5 days per week in New York City – when culture lines up, it is fun to be in the office together.