Full Stack and AI Engineer
USD 91K-163K Senior-level Full Time
Tasks
- Architect event-driven microservices
- Build and maintain backend APIs
- Collaborate with product and QA teams
- Conduct code reviews
- Create technical documentation
- Design scalable backend services
- Develop data processing pipelines
- Develop machine learning pipelines
- Enforce secure coding
- Ensure CI CD production readiness
- Implement automated testing
- Implement model inference services
- Integrate vector search
- Mentor junior engineers
- Model and optimize databases
- Orchestrate prompts for LLM features
- Perform incident response and root cause analysis
- Set up monitoring and alerting
Perks/Benefits
- 401k contribution
- Career development
- Comprehensive benefits
- Equity stock purchase
- Incentive and recognition programs
- Remote work flexibility
Skills/Tech-stack
AWS | At least once | Azure | CD | CI | CI/CD | Caching | Cassandra | Concurrency | DLQ | Database Indexing | Database migrations | Distributed Systems | Docker | Exactly once | Feature Engineering | GCP | GRPC | Java | Kafka | Kubernetes | LLM | MLOps | Machine Learning | Microservices | Model Inference | MongoDB | MySQL | Observability | Oracle | PostgreSQL | Prompt orchestration) | Python | Query Tuning | REST | Resiliency | Schema evolution | Vector Databases | Vector Search
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
Regions
Countries
States
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