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.
50 AI roles tagged llm_observability.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Verizon | Princ Engr-AI Science | Telecom | 9 | Agent orchestration · Multi-agent · Tool use · Fine-tuning · RAG · Vector DB |
| Verizon | Dist Engr-AI/ML Engineering | Telecom | 9 | Agent orchestration · Tool use · RAG · Guardrails · Agent research |
| AT&T | Director Cybersecurity - AI/ML/Automation (Cyber Threat Analytics) | Telecom | 8 | Agent orchestration · Tool use · Evals · Guardrails · Fine-tuning · Inference infra · Model serving |
| Verizon | Engr III Cslt-AI Science | Telecom | 8 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Inference infra |
| Verizon | Princ Engr-AI Science | Telecom | 8 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Inference infra · Multimodal |
| Verizon | Director - AI/ML Engineering | Telecom | 8 | Agent orchestration · Tool use · Vector DB · Model serving · Inference infra · Guardrails |
| Verizon | Sr Engr Cslt-Data Science | Telecom | 8 | Agent orchestration · Tool use · RAG · Fine-tuning · Model serving |
| T-Mobile | Sr AI Engineer | Telecom | 8 | Agent orchestration · Tool use · Fine-tuning · RAG · Agent research |
| Verizon | Principal Data Scientist | Telecom | 8 | Agent orchestration · RAG · Fine-tuning · Model serving · Recommender systems · Search & ranking |
| Verizon | Sr Engr Cslt-AI Science | Telecom | 8 | Agent orchestration · Agent research · Fine-tuning · Inference infra · Model serving · RAG |
| Verizon | Princ Engr-Technology Strategy | Telecom | 8 | Agent orchestration · RAG · RLHF |
| Verizon | Sr Engr Cslt-Tech Strategy | Telecom | 8 | Agent orchestration · RAG · RLHF |
| T-Mobile | Sr Engineer, Machine Learning Engineering | Telecom | 8 | Agent orchestration · RAG · Fine-tuning · Model serving · Multimodal · Evals |
| AT&T | Senior Data/AI Engineering | Telecom | 8 | RAG · Vector DB · Agent orchestration · Model serving · Audio & speech |
| T-Mobile | Sr. AI Engineer | Telecom | 8 | Agent orchestration · Tool use · Fine-tuning · RAG · Evals · Guardrails |
| Verizon | Senior Engineering Consultant-Cloud & AI | Telecom | 8 | Agent orchestration · RAG · Tool use · Model serving · Inference infra |
| AT&T | Lead Cybersecurity - Application Security Architect – AI Models, Frameworks & Implementation | Telecom | 8 | Agent orchestration · RAG · Guardrails · Model serving |
| T-Mobile | Principal GenAI Software Engineer | Telecom | 8 | Agent orchestration · RAG · Guardrails · Model serving |
| AT&T | AI Automation Engineer-SRE Focus (Early Career) | Telecom | 8 | Agent orchestration · Agent research · RAG |
| AT&T | Principal AI - Software Engineer | Telecom | 8 | Agent orchestration · RAG · Vector DB · Evals |
| T-Mobile | Associate AI Engineer | Telecom | 7 | Agent orchestration · Fine-tuning · RAG · Tool use |
| AT&T | Principal AI-Native Software Engineer | Telecom | 7 | Agent orchestration · RAG · Vector DB · Agent research |
| Verizon | Engineer Full Stack - AI | Telecom | 7 | Fine-tuning · Agent orchestration · RAG |
| Verizon | Principal Data Scientist | Telecom | 7 | Agent orchestration · RAG |
| Verizon | Associate Director, Data Science | Telecom | 7 | Agent orchestration · RAG |
| Verizon | Data and AI Engineer | Telecom | 7 | RAG · Fine-tuning |
| AT&T | Lead Software Engineer | Telecom | 7 | RAG · Model serving |
| Verizon | AI Go To Market Leader | Telecom | 7 | Agent orchestration · RAG · Model serving · Guardrails |
| Verizon | Director of Digital Customer Experience & AI Innovation | Telecom | 7 | Agent orchestration · Guardrails · RAG · Vector DB · Fine-tuning · Model serving · Recommender systems · Search & ranking · Interpretability · Synthetic data · Agent research · RL post-training · RLHF · Reward modeling · RL robotics · Embodied AI |
| T-Mobile | Sr Engineer, Enterprise AI | Telecom | 7 | Agent orchestration · RAG · Model serving · Vector DB |