Job Description
About Sharebite
Sharebite is the leading meal benefits platform built exclusively for companies to feed their employees. Our platform allows employees to order meals from any restaurant while streamlining all ordering and billing requirements for the company. Every meal ordered through Sharebite results in a meal donation to local partners like City Harvest and Feeding America to help combat food insecurity. To date, Sharebite has donated over 15 million meals.
About the Role
As an AI Engineer, you will play a key role in shaping how Sharebite applies AI across both its product and internal operations. You will begin by working closely with the product and engineering teams to build a deep understanding of the codebase, core workflows, business logic, and operational complexity behind the platform. This foundation is essential to building AI solutions that are not only innovative but genuinely useful.
As you grow into the role, you will identify high-impact opportunities to use AI to improve efficiency, streamline manual work, and enhance the product experience for customers and internal teams. You will be responsible for designing, building, and refining AI-powered tools, automations, workflows, and product features that are practical, scalable, and well-integrated into the business. This role is ideal for someone who wants to pair full-stack engineering with applied AI work and have meaningful influence on how the function develops over time.
Important Note: This position starts as a Full-Stack Engineer and evolves into an AI Engineer role over time. If you're seeking a pure AI/ML research position, this may not be the best fit. If you love building real products and want to apply AI engineering progressively, this role is perfect for you.
What You'll Do
- Build and ship full-stack features across the product as you ramp up on the platform
- Develop a thorough understanding of systems, data models, and business logic
- Identify high-leverage automation opportunities as you learn how the platform works
- Design and build AI agents and automated workflows using modern AI tooling
- Integrate LLMs into product workflows in ways that are reliable and production-safe
- Evaluate, iterate, and improve AI systems based on real-world performance
- Collaborate with product and engineering teams to solve user-facing problems
- Help define what effective, responsible AI engineering looks like at Sharebite
Required Skills & Experience
- 5+ years of full-stack development experience, with proven ability to own features end-to-end
- 1–2 years of hands-on AI engineering experience building and shipping LLM-powered systems in production
- Experience with at least one major AI orchestration framework such as LangChain, LangGraph, or AWS Bedrock
- Familiarity with LLM APIs (OpenAI, Anthropic, etc.), vector databases, RAG pipelines, and agent frameworks
- Strong software engineering practices: testing, debugging, code quality, and system design
- Ability to work independently and manage ambiguity while learning a new codebase
- Curiosity about AI applications and commitment to building responsibly with AI
💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience and location.