Staff GenAI Engineer
Tasks
- Build RAG-architectures
- Control AI system costs
- Define cloud deployment strategies
- Deploy LLM-based applications
- Deploy with Docker and Kubernetes
- Design and develop scalable AI systems
- Design data pipelines and storage
- Develop backend microservices and APIs
- Implement agentic workflows
- Implement infrastructure-as-code
- Integrate tool calling and memory management
- Lead backend architecture
- Lead incident triage and prioritization
- Manage SQL and NoSQL databases
- Mentor engineers via code review and pairing
- Monitor logging and observability
- Optimize performance and reliability
- Own design docs and migration plans
- Secure production AI systems
- Train fine tune evaluate and deploy models
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Systems | Azure | CI/CD | Distributed Systems | Docker | GCP | Generative AI | Google ADK | Kubernetes | Langchain | Language Models | Large Language Models | Logging | Machine Learning | Microservices | MongoDB | Monitoring | NoSQL | Observability | PostgreSQL | Python | Retrieval-Augmented Generation | SQL | Security | Terraform
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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