Senior AI Engineers x 4
Tasks
- Analyze customer data and detect anomalies
- Architect production AI services
- Build automated lead qualification workflows
- Build maintenance management workflows
- Design AI agent architecture
- Develop and deploy AI models
- Develop autonomous workflow automation
- Ensure data consistency performance and cost efficiency
- Evaluate and integrate AI platforms and frameworks
- Implement monitoring logging and observability
- Implement multi agent AI augmented RPA workflows
- Integrate AI capabilities with APIs
- Mentor engineers and establish best practices
- Translate business requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
.NET | A/B | A/B Testing | API Design | AWS CloudFormation | AWS Lambda | Agent systems | Amazon ECS | Amazon EKS | Amazon S3 | Anthropic | Autonomous Agents | B testing | Computer Vision | Csharp | Data Pipelines | Data Privacy | Data privacy compliance | Event Driven | Event-driven architecture | Intelligent Workflow | Intelligent Workflow Automation | JavaScript | Langchain | Language Processing | Logging | MLOps | MMSK | Microservices Architecture | Monitoring | Multi-Agent | Multi-Agent Systems | MySQL | Natural Language | Natural Language Processing | Observability | OpenAI | Privacy Compliance | Process Automation | PyTorch | Python | RPA security | Recommendation Systems | Regulatory Compliance | Robotic Process Automation | System Integration | TensorFlow | TypeScript | Workflow automation
Education
Roles
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