Intermediate AI Engineer (LLM Agents / Python)

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.

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.