Software Development AI Engineer Senior
Tasks
- Build AI inference pipelines on GCP
- Define prompting strategy
- Define retrieval strategy
- Define technical standards
- Design AI/LLM architecture
- Design embeddings pipeline
- Develop AI APIs with FastAPI
- Document architecture decisions and ADRs
- Implement AI observability
- Implement AI services
- Integrate AI models with APIs
- Optimize performance, scalability, and cost
- Orchestrate AI workflows
- Perform code reviews and promote best practices
- Troubleshoot model responses latency quality and observability
Perks/Benefits
- Flexibility
- Notebook provided
- Professional development
- Refer a Friend program
- Remote work
- Vacation days
- Work-life balance
Skills/Tech-stack
API Design | API Integration | Architecture Documentation | CI/CD | Cloud IAM | Cloud Monitoring | Cloud Run | Cloud logging | Docker | Embeddings | Event Driven | Event-driven architecture | FastAPI | GCP Cloud | GCP Cloud Run | Google Cloud | Google Cloud IAM | LLM | Langchain | Llamaindex | Observability | Orchestration | Prompt engineering | PubSub | Python | RAG | Redis | Resilient architecture | Retrieval | Salesforce | Secret Manager | Secure integration | Vector Databases | Vertex AI
Education
N/A
Regions
Countries
States
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