Senior AI Engineer
Tasks
- Architect AI powered features end to end
- Build and maintain data pipelines and MLOps workflows
- Build production grade backend APIs
- Collaborate on AI solution scope and dependencies
- Create technical documentation and architecture diagrams
- Design event driven services and third party integrations
- Fine-tune and optimize models for production
- Integrate LLM APIs and ML models
- Lead code reviews and mentor engineers
- Troubleshoot production issues in distributed AI systems
Perks/Benefits
- Dental insurance coverage
- Health insurance coverage
- Hybrid work model
- Learning and development resources
- Vision insurance coverage
Skills/Tech-stack
AWS Lambda | Agile | Amazon EC2 | Amazon RDS | Amazon S3 | Amazon Web Services | Cloud platform | Design Patterns | Distributed Systems | ETL | Event Driven | Event-driven architecture | Google Cloud | Google Cloud Platform | GraphQL | JavaScript | Kanban | Language model APIs | Large Language Model | Large Language Model APIs | MLOps | Microservices | Model APIs | Model Monitoring | Node.js | Prompt engineering | PyTorch | Python | REST APIs | SQL | Scikit-learn | Software Design | Software Design Patterns | System Architecture | TensorFlow | TypeScript | Web Services
Education
N/A
Roles
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