AI Engineer (Agentic Systems)

TL;DR

AI Engineer (Agentic Systems): Design, build, and scale agent-based AI systems for a major beverage industry client with an accent on multi-agent architectures, enterprise integrations, and production-ready agent ecosystems. Focus on implementing intelligent agents that interact with multiple systems, leverage semantic layers, and orchestrate workflows using modern LLM frameworks.

Location: Remote from anywhere

Company

Dynamic startup building innovative Big Data and Machine Learning systems for demand planning, budget forecasting, e-commerce, visual recognition, and recommendation models.

What you will do

• Design and implement AI agents and multi-agent systems for business use cases.
• Build agentic workflows with orchestration, tool usage, and inter-agent communication.
• Develop integrations between agents and enterprise systems like APIs, databases, and SaaS platforms.
• Work with semantic layers and contextual data models to enhance agent reasoning.
• Implement MCP-like architectures for context sharing and tool connectivity.
• Collaborate with data teams on Databricks and modern data stacks for scalable solutions.

Requirements

• Proven experience building AI agents or agent-based systems.
• Solid understanding of multi-agent architectures, tool usage, and orchestration patterns.
• Experience with Model Context Protocol (MCP) or similar context/tool integrations.
• Hands-on coding of agent solutions in Python (not no-code tools).
• Strong skills in APIs, integrations, authentication, and distributed systems.
• Familiarity with LLM frameworks like LangChain or LangGraph.

Nice to have

• Experience with Databricks and modern data platforms.

Culture & Benefits

• Remote-first culture – work from anywhere.
• In-company English lessons.
• Wellhub or sports club stipend.
• AWS, DBT, Google Cloud, Azure, and Databricks certifications covered.
• Food credits via Pedidos Ya.
• Birthday off + extra vacation week (Mutt Week).
• Referral bonuses and annual team trip.