Backend Engineer with ML focus

About the role

We are looking for a Backend Engineer who will own the end‑to‑end production systems that power our AI platform. The focus is on building the infrastructure that operationalises machine‑learning models, rather than on model training itself.

Key responsibilities

• Design, develop and maintain high‑throughput APIs and micro‑services.
• Build robust data pipelines for model ingestion using SQL and NoSQL stores.
• Deploy and serve machine‑learning models with batching, asynchronous inference and specialized serving frameworks.
• Implement full‑stack observability: logging, metrics, alerting and monitoring.
• Architect distributed, low‑latency systems with fault tolerance and message‑queuing.
• Triage and debug production models to ensure consistent performance.
• Manage embedding pipelines and integrate vector‑search capabilities.

Required profile

• Extensive experience building production‑grade backend systems.
• Strong grasp of system design, distributed architectures and data consistency.
• Hands‑on experience with SQL, NoSQL, caching layers and message brokers such as Kafka or Redis.
• Proven track record of shipping services with built‑in observability.
• Practical knowledge of ML libraries (e.g., PyTorch, scikit‑learn, HuggingFace) for model integration and debugging.

Required skills

• Python
• Go
• Java
• SQL
• NoSQL
• Kafka
• Redis
• PyTorch
• scikit‑learn
• HuggingFace