AI Systems Engineer, Axelera AI

• Practical experience building with AI agents, model APIs and tools
• Understanding of how agents interact with applications, manage state and recover from failures
• Ability to use coding agents effectively to scope, implement and verify work while retaining ownership of correctness and technical decisions
• Experience with tool calling, structured outputs, streaming or MCP
• Understanding of how AI workloads run across applications, hosts and accelerated hardware, including remotely hosted environments
• Comfort working with Linux, processes, resource allocation and diagnosing failures across the software and compute stack
• Application of sound security principles to permissions, credentials and workload isolation
• Ability to build reliable execution with clear progress, cancellation and recovery
• Hands-on experience deploying computer vision models and working with LLM services
• Ability to use representative applications and inference workloads to verify platform correctness on real hardware
• Skills to assess accuracy, latency, throughput and resource use
• Experience investigating failures across model code, inference SDKs and execution environments
• We value demonstrated ability and judgment over particular degrees or certifications

Desirable

• We're looking for an AI System Engineer to help build and maintain Axelera Wingman and Axelera's agentic AI platform
• You'll develop the agent capabilities, execution environments and software integrations that make the platform reliable and useful. Deploying models and running AI workloads will help you validate the platform, identify gaps and improve the product
• 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