AI Engineer

Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We are looking for an AI Engineer, working for a major beverage industry client, to design, build, and scale agent-based AI systems across the organization.

This role will focus on developing agentic architectures (single-agent and multi-agent systems) that integrate with enterprise data platforms and enable advanced automation and decision-making capabilities. The engineer will play a key role in moving from experimentation to production-ready agent systems.

The primary objective is to design and implement intelligent agents capable of interacting with multiple systems, leveraging semantic layers, and orchestrating workflows across tools and data sources. This includes working with modern frameworks, understanding Model Context Protocol (MCP) concepts, and enabling scalable, maintainable agent ecosystems.

Responsibilities

• Design and implement AI agents and multi-agent systems for real-world business use cases.
• Build and maintain agentic workflows, including orchestration, tool usage, and inter-agent communication.
• Develop integrations between agents and enterprise systems (APIs, databases, SaaS platforms).
• Work with semantic layers and contextual data models to improve agent reasoning and performance.
• Implement and manage MCP-like architectures, ensuring proper context sharing and tool connectivity.
• Collaborate with data and platform teams to leverage Databricks and modern data stacks.
• Ensure solutions are production-ready, scalable, and aligned with governance and security requirements.
• Translate business problems into agent-based AI solutions with clear technical execution paths.
• Stay up to date with the latest advancements in agentic AI frameworks and LLM ecosystems.

Required Skills

• Proven experience building AI agents or agent-based systems.
• Solid understanding of multi-agent architectures, tool usage / 'skills' in agents, agent orchestration patterns.
• Experience with Model Context Protocol (MCP) or similar approaches to context/tool integration.
• Hands-on experience coding agent solutions (not only using no-code tools).
• Strong programming skills in Python.
• Solid understanding of APIs and integrations, authentication flows, distributed systems.
• Familiarity with LLM frameworks (LangChain, LangGraph, or similar).
• Experience working with semantic layers / knowledge representation is a strong plus.

Nice to Have

• Experience with Databricks and modern data platforms.

Perks

• Remote-first culture, work from anywhere.
• In-Company English Lessons.
• Wellhub or sports club stipend.
• AWS, DBT, Google Cloud, Azure and Databricks certifications fully covered.
• Food credits.
• Birthday off plus an extra vacation week.
• Annual team trip.
• Referral bonuses.