About the job

BGTS is a software and technology solutions company with over 1,800 professionals and 25+ years of experience. Through engineering expertise and industry insight, our international offices deliver tailored solutions, enabling clients worldwide to achieve their business goals with flexibility, speed, and impactful results.

About the Role

We are looking for a Senior AI Engineer to bridge the gap between ML models and robust, scalable production systems.

Key Responsibilities

• Design and implement high-concurrency APIs using FastAPI and gRPC to serve models with sub-second latency.
• Build and maintain task queues with Celery/Redis and event-driven architectures using Kafka/Confluent.
• Own the end-to-end lifecycle of ML models, from containerization (Docker/Helm) to automated deployment via GitHub Actions and Cloud Build.
• Provision and manage secure, scalable GCP environments using Terraform, ensuring our infrastructure evolves alongside our models.
• Leverage the full GCP ecosystem (BigQuery, Vertex AI, Cloud Run) to optimize data flow and model inference at scale.

Technical Requirements

• Deep experience with Python, designing patterns, performance optimization, and the modern AI library ecosystem.
• Professional experience with Go or TypeScript for high-performance service layers.
• Extensive hands-on experience with Kubernetes (GKE), including managing Helm charts and cluster scaling.
• Proven track record of handling high-throughput data using Kafka/Confluent.
• Deep familiarity with GCP (Storage, Vertex AI, BigQuery)
• Experience in infrastructure as code and in building automated pipelines for ML deployment.