AI Native Backend Engineer
A MXN 516K-516K (estimate) Senior-level Full Time
Tasks
- Apply observability strategies for AI agents
- Automate SDLC workflows
- Automate technical documentation
- Build event driven distributed architectures
- Deploy services with Docker and Kubernetes
- Design agentic pipelines
- Design and develop microservices
- Implement AI observability
- Implement OAuth2 and JWT security
- Implement automated QA
- Implement database persistence
- Integrate AI code review processes
- Integrate Kafka and RabbitMQ
- Integrate RAG and vector databases
- Monitor systems with Prometheus Grafana and ELK
- Optimize LLM costs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | Automated QA | Cost Optimization | Distributed Systems | Docker | ELK | Event Driven | Event-driven architecture | GitHub Actions | GitLab CI | Grafana | JWT | Java | Kafka | Kubernetes | LLM Cost Optimization | LangChain4J | Langgraph | Microservices | OAuth2 | Observability | Oracle | PostgreSQL | Prometheus | RAG | RabbitMQ | SDLC automation | Spring Boot | Vector Database
Education
Roles
AI | AI Native Backend Engineer | Backend | Backend Engineer | Engineer
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