About Shelvz
At Shelvz, we specialize in developing an advanced platform tailored for the Consumer-Packaged Goods (CPG) industry. Our platform offers a holistic solution for businesses to efficiently gather, consolidate, and analyze data from various sources. This enables our clients to make informed, data-driven decisions, optimize their operations, and achieve a competitive advantage. Our ambition is to become the leading partner for CPG businesses, helping them unlock the full potential.
We are looking for a skilled AI Engineer to join our dynamic team at Shelvz. You should have hands-on experience building applications on top of Large Language Models (LLMs), strong Python skills, and a solid understanding of SQL and relational databases. You will design, build, and improve our AI-powered data analyst. It is a multi-tenant agent that answers business questions in plain language by querying each client's data warehouse, generating charts, and returning clear insights. Experience with Java/Spring is a plus, as it will help you integrate AI features with our core platform.
Responsibilities:
- Design, develop, and maintain LLM-powered agents and services in Python, including tool-use loops, text-to-SQL, and data-visualization tools.
- Write prompts and system instructions, test them, and improve them over time so that answers are accurate, reliable, and grounded in real data.
- Build and maintain integrations between AI services and our platform, including REST APIs, webhooks, and Model Context Protocol (MCP) servers.
- Optimize AI features for cost, latency, and scalability using techniques such as prompt caching, context management, and model selection.
- Implement monitoring, logging, and usage/cost tracking, and troubleshoot issues in production.
- Work with data engineering on ETL pipelines and data warehouse schemas so the AI can understand and query our clients' data.
- Make sure AI features are secure and safe across tenants: read-only data access, authentication, and protection against prompt injection.
- Collaborate with cross-functional teams to define, design, and ship new AI features.
- Participate in code reviews and provide constructive feedback to peers.
- Stay updated with the latest developments in LLMs, agent frameworks, and AI tooling.
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
- 2–4 years of software development experience, with strong Python skills.
- Hands-on experience building applications with LLM APIs (e.g. Anthropic Claude, OpenAI), including function calling / tool use.
- Strong SQL skills and a solid understanding of PostgreSQL or other relational database management systems.
- Experience building backend services and REST APIs (Flask, FastAPI, or similar).
- Understanding of prompt engineering, context-window management, and how to evaluate LLM output quality.
- Familiarity with Git and modern development workflows.
- Strong problem-solving skills and attention to detail.
- Excellent communication and collaboration abilities.
Nice to Have:
- Experience with agentic frameworks or protocols such as the Model Context Protocol (MCP) or the Claude Agent SDK.
- Experience with RAG, embeddings, or vector databases.
- Knowledge of data warehousing, ETL pipelines, and BI/analytics.
- Experience with data visualization libraries (e.g. Matplotlib, Plotly).
- Knowledge of Java and the Spring framework.
- Familiarity with cloud services, Docker, and CI/CD.
- Experience building multilingual applications, especially Arabic.
- Knowledge of Agile methodologies.
- Experience in the CPG, retail, or field-force industries.
Poland