Solutions Architect (GenAI, Python/Data, AWS)
Tasks
- Build Python backend services and REST APIs
- Build and maintain ETL/ELT workflows
- Deliver client demos and technical scoping
- Deploy ML and LLM solutions
- Design cloud-native data and AI solutions
- Implement MLOps LLMOps and AgentOps
- Implement RAG systems for production
- Lead architecture reviews and design documents
- Mentor engineers and lead code reviews
- Perform cost estimation and cloud cost optimization
- Provide technical direction for client engagements
- Support presales discovery and technical proposals
Perks/Benefits
- Equipment provided
- Flexible hours
- Paid sick leave
- Paid vacation
- Premium AI tools subscriptions
- Private medical insurance
- Remote work
- Training programs
Skills/Tech-stack
AWS Bedrock | Amazon Web Services | Automated testing | CI/CD | Distributed Computing | Django REST | Django REST Framework | Docker | Drift Detection | ECR | ECS | ELT | ETL | Experiment tracking | FastAPI | Flask | Kubernetes | LLM API | LLMOps | Lambda | MLOps | Model Drift | Model Drift Detection | Model Monitoring | Observability | Python | REST APIs | REST Framework | Retrieval-Augmented Generation | S3 | SQS | Web Services
Education
N/A
Roles
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