Join The Team
We love food, technology and data, and we’re changing the food & beverage industry for the better.
AI Engineer
About The Position
Passionate about food and curious about what drives consumer choices? Join Tastewise and help shape the future of the food and beverage industry.
Tastewise is a human-and-agent food intelligence and marketing platform used by leading companies like PepsiCo, Nestlé, and Kraft Heinz to decide what products to launch, how to market them, and what ultimately makes it to the shelf.
We turn real consumer behavior into actionable insights, helping teams make smarter, faster decisions in a $10 trillion industry that impacts billions of people every day.
If you’re excited about turning data into real-world impact and being part of a collaborative team with a clear mission, this is the place for you!
About the role
We’re looking for a product-minded AI Engineer with a strong software engineering background, who knows how to turn advanced AI capabilities — including agentic systems and MCP — into production-ready features.
This is not a research role and not an experimentation sandbox. It’s a hands-on engineering role focused on ownership, systems thinking, and shipping AI as a core part of a real product with users, data, and real-world constraints.
What you’ll do:
- Own AI features end-to-end — from defining the business problem to production deployment
- Build LLM-based systems, including: RAG and Retrieval / Semantic Search systems & Agentic Solutions: Agents, Tool Use, Orchestration, Memory, and Control Flows
- Design and implement Agentic Systems using Model Context Protocol (MCP) for structured tool access, context management, and modular agent interactions
- Build systems where models make decisions, invoke tools, and perform actions in a controlled and observable way
- Integrate AI into existing production systems — APIs, async jobs, data pipelines, monitoring
- Make architectural decisions around models, providers, and Cost / Latency / Reliability tradeoffs
- Ship production-grade solutions with logging, retries, testing, and observability
How we think about AI:
- We build Systems, not just prompts
- We’re pragmatic — not every problem needs an agent
- We care deeply about Quality, Cost, and Latency
- We actively use AI to write better code, faster
Who this role is for:
- Engineers who made a real transition into AI through building and shipping
- People who enjoy ambiguity, iteration, and system-level problem solving
- Those who want to work on AI that is part of the Core Product, not a side experiment
Requirements
- 4+ years of experience as a Full-stack or Backend Engineer
- At least 2 years of hands-on experience delivering AI/LLM-powered features into production, or equivalent real-world project scope.
- Thinks like a software engineer first — AI is a tool, not the goal
- Practical experience with: LLM APIs (OpenAI, Claude, Gemini), Prompting, Evaluation, and Debugging of LLM outputs, Building Retrieval / RAG Pipelines
- Experience or deep understanding of Agentic Architectures, including: Task Decomposition, Tool Invocation, State and Memory Management
- Hands-on familiarity with Model Context Protocol (MCP) or similar protocols/architectures for managing context and tools for LLM agents
- Production experience with Python, APIs, Docker, Cloud infrastructure, and CI/CD
- Comfortable working with real, messy data: SQL, Data Processing, and Pipelines
Please note that this role is on a hybrid model of 4 days/week in our Tel-Aviv office.