We are seeking a talented and innovative Data Platform Engineer to join our dynamic team. This role offers the opportunity to work on cutting-edge projects that drive digital transformation and enhance data-driven decision-making.

Responsibilities

• Design and implement scalable data ingestion and transformation pipelines to support autonomous AI agents.
• Collaborate on developing platforms for real-time data quality monitoring and anomaly detection.
• Maintain agent memory architecture and integrate large language models for enhanced performance.
• Build and manage APIs and event-driven architectures to facilitate agent communication.
• Optimize platform performance, focusing on data indexing and latency reduction.
• Develop tools for platform observability and implement security and governance practices.
• Support and troubleshoot production issues, ensuring smooth operation of data systems.

Skills

• 3+ years of experience in data engineering or backend systems.
• Strong proficiency in Python, SQL, and modern data frameworks.
• Experience with vector databases and semantic search technologies.
• Familiarity with cloud platforms such as AWS, GCP, or Azure.
• Excellent analytical and problem-solving skills.

Preferred Skills

• Prior experience in multi-agent systems or agent-based simulations.
• Knowledge of data-centric AI pipelines and retrieval-augmented generation.
• Exposure to observability tools and practices.
• Open-source contributions in AI infrastructure or related fields.

We are committed to fostering a diverse, equitable, and inclusive environment where all team members are valued and empowered to contribute their unique perspectives.

Once you apply for this position, you may receive a phone call, SMS or email at the time of application from our Virtual AI Recruiter, Alex, to conduct an initial interview.