AI Engineer - kf

Join Our Data Products and Machine Learning Development Remote Startup! 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 to join Muttdata, 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 Join Our Data Products and Machine Learning Development Remote Startup!   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 to join Muttdata, 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 What We Do

Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.

Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.

Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.

Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.

Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.

Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

Our Partnerships

Amazon Web Services

Astronomer

Databricks

Our Values

We are Data Nerds

We are Open Team Players

We Take Ownership

We Have a Positive Mindset

Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 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 Skills

Experience with Databricks and modern data platforms.

Perks

Remote-first culture – work from anywhere!

In-Company English Lessons.

Wellhub or sports club stipend to stay active

AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered

Food credits via Pedidos Ya – because great work deserves great food.

Birthday off + an extra vacation week (Mutt Week! ️)

Referral bonuses – help us grow the team & get rewarded!

✈️ ️ Annual Mutters' Trip – an unforgettable getaway with the team!

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