AI Developer
Tasks
- Build distributed systems and microservices
- Build modern APIs
- Collaborate with product and data science teams
- Contribute to cloud infrastructure
- Design scalable backend services
- Develop AI-driven workflows
- Implement CI/CD pipelines and observability
- Implement event-driven architectures
- Integrate large language models with AWS services
- Optimize databases search and caching
- Provide technical leadership and mentoring
Perks/Benefits
Skills/Tech-stack
API Gateway | AWS Bedrock | AWS Lambda | Amazon API | Amazon API Gateway | Amazon Aurora | Amazon Aurora PostgreSQL | Amazon DynamoDB | Amazon S3 | Amazon Step Functions | Aurora PostgreSQL | CI/CD | Celery | Datadog | Distributed Systems | Django | Docker | Elasticsearch | Event Driven | Event-driven architecture | FastAPI | GRPC | Grafana | GraphQL | Infrastructure as Code | Kafka | Microservices | NoSQL | ORM | OpenSearch | OpenTelemetry | Prometheus | Python | REST APIs | Redis | Retrieval-Augmented Generation | SQL | Step Functions | Vector Search | “as-code”
Education
N/A
Roles
AI | AI Developer | Backend | Backend Software Engineer | Developer | Engineer | Software Engineer
Regions
Countries
States
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