Software Engineering & Development, AVP
Tasks
- Collaborate with product and engineering to define delivery plans
- Design and deploy LLM-based applications
- Develop reusable AI components and orchestration patterns
- Implement MLOps best practices and AI governance
- Lead architecture and implementation across parallel AI initiatives
- Lead end to end development of AI features and services
- Manage AI risks including data drift and hallucinations
- Mentor AI engineers and applied scientists
- Monitor AI solutions for performance reliability and compliance
- Perform model evaluation red teaming and automated testing
Perks/Benefits
- N/A
Skills/Tech-stack
AI Governance | C++ | CI/CD | Computer Vision | Continuous Delivery | Continuous integration | Cost Optimization | Data Versioning | Deployment Monitoring | Distributed Systems | Go | Java | LLM | Language Processing | Low Latency | Low Latency Inference | MLOps | Machine Learning | Model Evaluation | Model Training | Natural Language | Natural Language Processing | Observability | Prompt orchestration) | Python | REST APIs | Red Teaming | Retrieval-Augmented Generation
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
AI Developer | Developer | Engineer | Gen AI Developer | Software Engineer
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