Software Engineer - AI Platform & Agents
Tasks
- Build reusable AI developer tooling
- Build systems for AI agent automation
- Create data and inference pipelines
- Design and build scalable backend platforms
- Develop and deploy LLM-powered applications
- Establish MLOps practices for model lifecycle management
- Implement observability monitoring testing security
- Integrate AI capabilities into production services
- Mentor engineers and share technical expertise
- Optimize performance reliability scalability and cost
- Participate in architecture reviews
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Automated Deployment | Automated deployment pipelines | Azure | Deployment Pipelines | Distributed Systems | Docker | Event Driven | Event-driven architecture | GCP | Go | Java | Kubernetes | MLOps | Machine Learning | Model Evaluation | Model Monitoring | MongoDB | Observability | PostgreSQL | Prompt engineering | Python | REST APIs | Redis | Retrieval-Augmented Generation | TypeScript
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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