AI Engineer – Agentic Systems & Backend
Tasks
- Build and maintain APIs services and data pipelines
- Build guardrails safety mechanisms fallback strategies
- Collaborate with product, data, and design
- Define technical vision for agentic systems
- Design LLM evaluation systems
- Design and build production grade agentic systems
- Design scalable backend architectures for AI workloads
- Ensure testing maintainability security
- Implement observability tracing logging debugging cost monitoring
- Integrate LLMs into backend systems
- Mentor engineers on AI and backend systems
- Participate in architectural reviews
- Translate product problems into agentic architectures
Perks/Benefits
- English and Spanish lessons
- Flexible working hours
- Hybrid work model
- Paid time off
- Referral program
- Team-building activities
- Training budget
- Transportation ticket
Skills/Tech-stack
APIs | Agent systems | Agentic Systems | Backend architecture | Context engineering | Data Pipelines | Debugging | Decision Making | Domain-Driven Design | Fallback strategies | Function Calling | LLM Evaluation | Language Models | Large Language Models | Logging | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | Planning | RAG | Reasoning | Retrieval-Augmented Generation | Safety Guardrails | Security | System design | Testing | Tool use | Tracing
Education
N/A
Roles
AI | AI Engineer | Backend | Backend Engineer | Engineer
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