🚀 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!