Senior Engineer, AI Infrastructure
Job Description
Job Description:
- Agentic Workflow: Design and implement core Agent architectures and Agent tooling
- API integration & Deployment: Build and optimize API's for Agent lifecycle and deployment for runtime access.
- Memory & Tools: LLM agent tooling API development and integration.
- Reliability & Stability: Ensure stable deployment, recovery protocols, and CI/CD of the core product infrastructure
Requirements:
- Master's in Computer science, Engineering, Information systems, or a related field
- At least 3 Years of full time working experience in AI infrastructure, or software engineering, or API engineering.
- At least 1 Year of full time experience with Agent Tooling.
- Experience in Distributed systems and cloud platforms.
Kindly note that you can only be considered for one role at a time with any of the companies within our Group. If you have applied for other jobs with the Group, you will be considered for roles in the order of your application
More Info
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Industry:
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Key Skills
CI CD
Reliability Stability
LLM agent tooling
cloud platforms
Memory Tools
About Company
Skills:
Api Development, Distributed Systems, Api Integration, LLM agent tooling, Cloud platforms, Agent architectures, Agent tooling, Memory Tools
Skills:
Distributed Systems, Software Engineering, API engineering, Agent Tooling, Cloud platforms, AI infrastructure
Skills:
Operating Systems, Linux System Administration, Hpc, priority management, high performance computing, Storage Area Networks, Networking Topologies, Timely Execution, distributed algorithms, Workflow Orchestration, Cluster Server, infiniband, Architect, Online training, distributed file systems, High Speed Ethernet
Skills:
Automation, Code Analysis, C Programming Language, Python Programming, Storage Systems, NAND flash memory, Firmware debugging, Issue isolation, Non-volatile storage technologies, AI-assisted tools, NVMe storage interfaces, Root cause investigation, Validation activities, Firmware analysis, Firmware design, Assembly language programming, SSD products, Embedded firmware development
Skills:
Technical Documentation, Api Integration, Test Plans, Data Modelling, Retrieval workflows, Data schemas, Automated processing, Validation of digital tools, Lifecycle handling, Digital solution development, Conversational logic, Enterprise content and document management, Workflow logic, Automated document-handling processes, Classification, Intelligent assistant and agent development, Integration specifications, Data pipelines, Notifications, QA reviews