Senior AI/ML Engineer
Tasks
- Architect end to end solutions on GCP
- Build AI agents and integrate LLMs
- Build and deploy GenAI applications
- Build restful APIs
- Build scalable microservices
- Deploy and manage services on Cloud Run
- Deploy models with Vertex AI
- Design and develop backend services
- Develop RAG pipelines
- Implement CI/CD, logging, monitoring
- Manage work with Jira
- Mentor junior engineers
- Optimize system performance and reliability
- Perform code reviews with GitHub
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Agile | BigQuery | CI/CD | Cloud Composer | Cloud Cost Optimization | Cloud Run | Cloud Storage | Cloud platform | Cost Optimization | Dataflow | Django | Faiss | FastAPI | GitHub | Google ADK | Google Cloud | Google Cloud Platform | Jira | LLM | Langchain | Logging | Matching Engine | Microservices | Model Context Protocol | Monitoring | Performance optimization | Pinecone | PostgreSQL | Prompt engineering | Python | RAG | REST API | Vector Database | Vertex AI | Vertex AI Matching Engine
Education
N/A
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