Data Engineer

Company Description

We’re a small but fast-moving startup building autonomous agent systems and developing customized data pipelines for experimental clients.

Our mission: enable intelligent systems to operate reliably, autonomously, and failure-free - with data privacy and precision at the core.

we design pipelines that work with high-level abstractions - embeddings, insights, and validation signals - to power federated, latency-optimized AI ecosystems.

Role Description

As our Data Engineer, you’ll be responsible for designing, building, and optimizing the data backbone of our agent-based AI systems.

You’ll work closely with our deep learning and automation teams to ensure data flows securely, efficiently, and intelligently.

Your day-to-day will include:

Designing and maintaining data pipelines that connect clients, agents, and models asynchronously.

Building data schemas, metadata layers, and validation mechanisms for high-level semantic data.

Implementing real-time and hybrid cloud data systems with minimal latency.

Supporting model training and continuous feedback loops with privacy-preserving data structures.

Collaborating cross-functionally to evolve our federated learning infrastructure.

Qualifications

3+ years of experience in Data Engineering, building scalable pipelines or ETL systems.

Strong command of Python and SQL (Pandas, PySpark, or similar).

Experience with streaming or distributed systems (Kafka, Pub/Sub, RabbitMQ - big plus).

Solid understanding of Data Modeling and Data Warehousing.

Familiarity with cloud platforms (AWS, GCP, or Azure).

Bonus points for experience with embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS) or Federated Learning.

A problem-solver mindset - not just building pipelines, but understanding the flow and meaning of data in complex systems.

This isn’t a traditional Data Engineering job.

You’ll help redefine how data flows in AI systems that are decentralized, private, and adaptive - where insights, not raw data, are the real assets.

You’ll get to shape the foundation of a new generation of autonomous, data-aware agents.

If this sounds like your kind of challenge, we’d love to meet you.

Send us your CV or LinkedIn profile to [email protected]

and tell us about a data project that made you proud.