Staff GenAI Engineer
Tasks
- Build RAG-architectures
- Build backend microservices
- Collaborate on model training
- Control cost of AI systems
- Coordinate cross-team delivery
- Create design documents
- Define cloud deployment strategies
- Deploy machine learning models
- Deploy with AWS Azure and GCP
- Design SQL and NoSQL schemas
- Design agentic workflows
- Design data pipelines
- Develop AI APIs
- Develop GenAI production systems
- Enable tool calling
- Ensure production readiness
- Fine-tune and evaluate models
- Implement LLM systems
- Implement monitoring and logging
- Lead backend architecture
- Lead incident triage
- Maintain database integrity
- Manage memory orchestration
- Mentor engineers via code reviews and pairing
- Optimize performance
- Orchestrate with Kubernetes
- Plan migrations and blueprints
- Secure AI systems
- Standardize Docker deployment
Perks/Benefits
Skills/Tech-stack
AWS | Agentic Workflows | Azure | CI/CD | Distributed Systems | Docker | Generative AI | Google Cloud | Google Generative AI | Infrastructure as Code | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | Logging | Machine Learning | Microservices | MongoDB | Monitoring | Natural Language | Natural Language Processing | NoSQL | PostgreSQL | Python | Retrieval-Augmented Generation | SQL | Security | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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