Staff GenAI Engineer
Tasks
- Build APIs for AI applications
- Build RAG-architectures
- Control AI costs
- Define cloud deployment strategies
- Deliver GenAI solutions to production
- Deploy containerized applications
- Design Agentic AI systems
- Design data pipelines
- Develop AI SaaS products
- Develop backend microservices
- Develop scalable backend systems for AI
- Ensure AI production readiness
- Implement LLM systems
- Implement data storage strategies
- Implement monitoring and logging
- Lead backend architecture
- Monitor AI systems
- Optimize performance
- Orchestrate agentic workflows
- Oversee SQL and NoSQL data architecture
- Secure AI systems
- Train fine tune evaluate deploy machine learning models
Perks/Benefits
Skills/Tech-stack
AWS | Agentic AI | Azure | CI/CD | Distributed Systems | Docker | GCP | Generative AI | Google ADK | Infrastructure as Code | Kubernetes | Langchain | Language Models | Large Language Models | Logging | Machine Learning | Microservices | MongoDB | Monitoring | NoSQL | PostgreSQL | Python | Retrieval-Augmented Generation | SQL | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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