Senior AI Engineer — LLM Agents
Tasks
- Advise on agent and search design
- Build LLM tool orchestration
- Build evaluation frameworks
- Create multi agent environments
- Debug live AI services
- Design agentic systems
- Develop memory systems
- Ensure production reliability
- Identify technical risk
- Implement guardrails
- Implement observability
- Instrument AI services
- Integrate MCP servers
- Measure answer quality
- Measure extraction accuracy
- Measure retrieval performance
Perks/Benefits
- N/A
Skills/Tech-stack
Agent systems | Hybrid retrieval | Information Extraction | Keyword search | Knowledge graphs | LLM Agents | Language Models | Large Language Models | Model Context Protocol | Monitoring | Multi-Agent | Multi-Agent Systems | Observability | OpenTelemetry | Python | RAG | Reranking | Retrieval-Augmented Generation | Structured Information Extraction | Tool orchestration | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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