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.
