Staff Software Engineer - AI
Tasks
- Build backend services and APIs for real time and batch workloads
- Create data pipelines and inference pipelines
- Deploy and monitor AI enabled products and services
- Design and lead delivery of scalable AI platforms
- Establish engineering best practices with automated testing and observability
- Implement large language model applications with retrieval augmented generation
- Make technical decisions for performance scalability reliability security and cost
- Manage machine learning operations model lifecycle and prompt versioning
- Mentor engineers through code reviews design reviews and technical coaching
- Orchestrate prompt workflows and agentic processes
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Amazon Web Services | Application Programming | Application Programming Interfaces | Artificial Intelligence | Automated Deployment | Automated deployment pipelines | CI/CD | Cloud platform | Data Pipelines | Deployment Pipelines | Distributed Systems | Docker | Evaluation | Event Driven | Event-driven architecture | Go | Google Cloud | Google Cloud Platform | Inference Pipelines | Java | JavaScript | Kubernetes | Language Models | Large Language Models | Learning operations | Machine Learning | Machine Learning Operations | Microsoft Azure | Model Optimization | MongoDB | Observability | PostgreSQL | Programming interfaces | Prompt engineering | Prompt orchestration) | Python | Redis | Retrieval-Augmented Generation | TypeScript | Vector Databases | Web Services
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI | AI Software Engineer | Engineer | Software Engineer | Staff Software Engineer
Regions
Countries
States
Cities
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