Senior/Lead AI Engineer
Tasks
- Build integrate LLM based agents and orchestration frameworks
- Collaborate with data engineers DevOps product managers and business analysts
- Conduct peer code reviews
- Convert RPA automations into Python based solutions
- Deploy and operate automations on Google Cloud Platform
- Design develop deploy Python based automations
- Diagnose and resolve technical defects
- Integrate with APIs databases and enterprise systems
- Optimize performance and stabilize processes
- Participate in client meetings
- Perform technical guidance for engineers
- Run tests through CI CD pipelines
- Stay current with agentic AI industry trends
- Translate technical approach tradeoffs and risk
- Write and execute unit and integration tests
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agile | App Engine | CI/CD | Cloud Run | Cloud Storage | Cloud platform | Compute Engine | Database Integration | Docker | GKE | Google Cloud | Google Cloud Platform | Integration Testing | Integration Tests | Kubernetes | LLM | Machine Learning | NumPy | Pandas | Python | Scrum | Unit Testing | Unit Tests
Education
N/A
Roles
AI Engineer | Engineer | Lead | Lead AI Engineer | Senior AI Engineer
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