Senior/Staff Software Engineer, GenAI Infrastructure

Our requirements

• Bachelor's degree or equivalent practical experience.
• 5 years of experience with software development in Java, Kotlin or equivalent programming languages.
• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
• 3 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.

Optional

• Experience designing and building RESTful or gRPC APIs for internal and external consumers.
• Knowledge of model serving frameworks and platforms (e.g., TensorFlow Serving, TorchServe, Triton Inference Server, Vertex AI Prediction).
• Familiarity with Google Cloud Platform (GCP) services relevant to AI/ML infra, such as Vertex AI, Google Kubernetes Engine (GKE), Cloud Storage, BigQuery, etc.
• Excellent ownership and problem solving skills, and familiarity with system design.

Your responsibilities

• Architect and implement backend libraries, services and systems to support AI/ML workflows, including agentic frameworks and protocols, model serving platforms, feature stores, data pipelines, and API gateways.
• Focus on optimizing the performance, latency, throughput, and resource utilization (e.g., GPU/TPU, memory) of the middleware components.
• Ensure the infrastructure can handle varying loads, scale efficiently, and maintain high availability and fault tolerance.
• Work closely with ML engineers, data scientists, and application developers to integrate models and data sources into the serving infrastructure.
• Automate deployment, testing, and operational tasks related to the AI/ML infrastructure (MLOps practices).

About the project

Benefits

• sharing the costs of sports activities
• private medical care
• sharing the costs of foreign language classes
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• fruits
• corporate products and services at discounted prices
• integration events
• dental care
• corporate gym
• corporate sports team
• retirement pension plan
• saving & investment scheme
• corporate library
• no dress code
• coffee / tea
• drinks
• parking space for employees
• leisure zone
• extra social benefits
• meal passes
• redeployment package
• employee referral program
• opportunity to obtain permits and licenses
• charity initiatives
• extra leave