Full Stack and AI Engineer
USD 91K-163K Senior-level Full Time
Tasks
- Architect event driven microservices with Kafka
- Build data processing pipelines streaming and batch
- Collaborate with product QA platform SRE and stakeholders
- Design scalable backend services and APIs
- Ensure production readiness with CI CD automated testing monitoring
- Implement AI model inference services
- Integrate prompt orchestration and vector search
- Model and optimize relational and NoSQL databases
- Monitor incidents and perform root cause analysis
- Perform code reviews secure coding and documentation
Perks/Benefits
- 401k contribution
- Career development opportunities
- Comprehensive benefits
- Equity stock purchase
- Incentive and recognition programs
- Remote work within United States
- Telecommute flexibility
Skills/Tech-stack
AWS | Alerting | At least once | Azure | Batch Processing | CI/CD | Caching | Cassandra | Code review | Concurrency | Database migrations | Distributed Systems | Docker | Event Driven | Event-driven architecture | Exact Once | Feature Engineering | GCP | GRPC | Incident Response | Indexing | Java | Kafka | Kubernetes | LLM integration | MLOps | Machine Learning | Machine Learning Inference | Microservices | MongoDB | Monitoring | MySQL | NoSQL | Observability | Performance Tuning | PostgreSQL | Prompt orchestration) | Python | Query Tuning | REST | Relational databases | Resiliency Patterns | Schema Design | Schema evolution | Secure Coding | Streaming Data | Vector Databases | Vector Search
Roles
AI | AI Engineer | Backend | Backend Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
Regions
Countries
States
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