13 AI roles tagged llm_observability.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Northrop Grumman | AI Engineer Software (Level 2 or 3) | Aerospace | 8 | RAG · Agent orchestration · Tool use · Fine-tuning · Model serving · Evals |
| Boeing | Junior Data Scientist | Aerospace | 7 | Fine-tuning · RAG · Agent orchestration |
| Boeing | Experienced or Senior Greenfield Software Developer | Aerospace | 7 | Agent orchestration · RAG · Model serving |
| Boeing | Software Developer-Builder (Experienced or Senior) | Aerospace | 7 | Agent orchestration · RAG · Model serving |
| Boeing | Senior Artificial Intelligence (AI) Solutions Architect | Aerospace | 7 | Agent orchestration · Agent research · Model serving · Inference infra · RAG · Vector DB |
| Boeing | Artificial Intelligence (AI) Platform Developer (Mid-Level or Senior) | Aerospace | 7 | Agent orchestration · RAG · Vector DB · Model serving · Inference infra |
| Boeing | Senior Artificial Intelligence Operations Specialist | Aerospace | 7 | Agent orchestration · Model serving · Inference infra |
| Northrop Grumman | Software Engineer 2/3 | Aerospace | 7 | Agent orchestration · Tool use · Evals · RAG |
| Northrop Grumman | Software Engineer: Automation/AI - Level 3 (Chandler) | Aerospace | 7 | Agent orchestration · Tool use · RAG · Vector DB · Fine-tuning · Model serving · Inference infra |
| Boeing | Senior Data Scientist | Aerospace | 7 | Fine-tuning · Evals · Guardrails · Multimodal · RAG · Vector DB · Model serving |
| Boeing | Associate Support Engineering Data Specialist | Aerospace | 7 | RAG · Fine-tuning · Semantic search |
| RTX | AI Solution Architect (Hybrid) | Aerospace | 7 | Evals · Guardrails · RAG |
| Boeing | Mid-Level Business Intelligence Analyst | Aerospace | 5 | Agent orchestration · Tool use · Evals · Guardrails · RAG · Vector DB · Fine-tuning · Inference infra · Model serving |
Monitoring, tracing, and debugging LLM applications in production, including prompt and response logging, latency and cost tracking, and live quality metrics.
Primary AI lifecycle stage: evaluation and application.
As of today, 3,121 active AI roles across 225 companies in our index reference LLM observability. Hiring concentrates at the agents (70%) and serving infrastructure (9%) stages. Most common sectors: Enterprise, Big Tech, Banking.
Monitoring, tracing, and debugging LLM applications in production, including prompt and response logging, latency and cost tracking, and live quality metrics. Primary AI lifecycle stage: evaluation and application.
3,121 active AI roles across 225 companies in our index reference LLM observability as of today.
The companies with the most active LLM observability listings are: Amazon (304 roles), JPMorgan Chase (175 roles), Google (151 roles), Capital One (120 roles), Apple (92 roles).
LLM observability primarily belongs to the evaluation and application stages of the AI lifecycle. In current hiring, LLM observability roles concentrate at: agents (70%), serving infrastructure (9%).
The sectors with the most active LLM observability hiring are: Enterprise, Big Tech, Banking.