AI Systems Engineer - Agents & Inference

• Build reliable agent systems, intelligent tools and application integrations

• Develop secure, scalable execution environments for demanding AI workloads

• Build and maintain Wingman's platform capabilities, including access to accelerated computing and remote workload execution

• Deploy and optimize computer vision models, LLM services and inference infrastructure to validate Axelera's agentic AI platform

• Own capabilities from implementation and hardware validation through production operation

• Take ownership of implementation, verification and ongoing reliability

• Test functionality, security boundaries, hardware behavior and failure recovery

• Write clear documentation, reproducible setup instructions and practical operational runbooks

• Become productive quickly with unfamiliar tools, SDKs and systems

• Collaborate effectively and exercise sound technical judgment

Software Engineering: Python, Rust or another systems language. APIs, databases and native integrations. TypeScript/React and Tauri experience

Workload Orchestration: Job submission, scheduling, quotas, concurrency. Result retrieval and reproducible environments. SDK and driver compatibility management

Security: Authentication, authorization, least privilege. Access revocation, sandboxing, network security. Protection of users' files and data

Cloud Operations (Google Cloud/AWS): Containers, infrastructure as code, CI/CD. Monitoring, incident investigation. Safe deployments, rollback and recovery

Applied ML & Accelerated Computing: PyTorch/ONNX. Image/video processing, detection, classification, segmentation. Calibration, quantization and hardware-aware optimization

Evaluation & Retrieval: Reproducible benchmarks for model quality, agent behavior and task success. Grounded retrieval and traceable results