AI systems that invoke external APIs, search engines, or code interpreters during inference, extending capabilities beyond raw LLM generation. The foundational capability behind most agentic products. Primary AI lifecycle stage: agents.
1,240 active AI roles across 193 companies in our index reference Tool use as of today.
The companies with the most active Tool use listings are: JPMorgan Chase (80 roles), Salesforce (64 roles), Amazon (51 roles), Adobe (49 roles), Google (44 roles).
Tool use primarily belongs to the agents stage of the AI lifecycle. In current hiring, Tool use roles concentrate at: agents (94%), application (2%).
The sectors with the most active Tool use hiring are: Enterprise, Big Tech, Data AI.
AI systems that invoke external APIs, search engines, or code interpreters during inference, extending capabilities beyond raw LLM generation. The foundational capability behind most agentic products.
Primary AI lifecycle stage: agents.
As of today, 1,240 active AI roles across 193 companies in our index reference Tool use. Hiring concentrates at the agents (94%) and application (2%) stages. Most common sectors: Enterprise, Big Tech, Data AI.
1894 AI roles tagged tool_use.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Adobe | Sr Engineering Manager - Agentic AI, Adobe Express | Enterprise | 9 | Agent orchestration · RAG · LLM observability · Model serving |
| Harvey | Staff Software Engineer, Agents | AI Frontier | 9 | Agent orchestration · Evals · LLM observability · RAG |
| Harvey | Staff Software Engineer, Agents | AI Frontier | 9 | Agent orchestration · Evals · LLM observability · RAG · Model serving |
| Harvey | Software Engineer, Agents | AI Frontier | 9 | Agent orchestration · Evals · RAG · LLM observability · Model serving |
| Mistral AI | Model Behavior Architect | AI Frontier | 9 | Evals · Guardrails · LLM observability · Agent orchestration · Fine-tuning · RL post-training |
| Elastic | Lead GenAI Cloud Developer | Enterprise | 9 | Agent orchestration · RAG · Vector DB · Fine-tuning · Model serving · Inference infra · LLM observability · Evals · Guardrails |
| Amazon | Sr. Applied Scientist, Applied AI Solutions | Big Tech | 9 | Agent orchestration · Agent research · Evals · Guardrails · LLM observability |
| ClickUp | Staff AI Engineer - Multi-Agent Frameworks |
| Enterprise |
| 9 |
| Agent orchestration · Multi-agent · Evals · LLM observability |
| Cursor | Product Manager, Agent Harness | Coding AI | 9 | Agent orchestration · Agent research · Evals · Guardrails · LLM observability · RL post-training · Multi-agent |
| Microsoft | Principal Applied Scientist | Big Tech | 9 | Agent orchestration · Agent research · LLM observability · RAG · Vector DB · Fine-tuning |
| NVIDIA | Senior Research Engineer - AI Coding Tools | Semiconductors | 9 | Agent orchestration · Evals · Fine-tuning · Code gen · Synthetic data · RAG |
| Capital One | Sr. Distinguished AI Engineer (Agentic AI Platform) | Banking | 9 | Agent orchestration · RAG · Guardrails · LLM observability · Model serving · Vector DB |
| NVIDIA | ML and Agentic Systems Engineer | Semiconductors | 9 | Agent orchestration · Evals · LLM observability · RAG · Fine-tuning · Model serving · Agent research |
| Pika Labs | Senior Software Engineer, Agent | AI Frontier | 9 | Agent orchestration · RAG · Vector DB · LLM observability · Multimodal · Audio & speech · Code gen |
| DoorDash | AI Research Fellowship, (Summer and Fall 2026) | Consumer | 9 | Agent orchestration · Evals · Forecasting · Multimodal · Vision · Audio & speech · Frontier research · Synthetic data |
| Mistral AI | AI Engineer, Product | AI Frontier | 9 | Agent orchestration · Evals · LLM observability · Model serving · Search & ranking · Multimodal |
| Elastic | Elastic AI Engineer | Enterprise | 9 | Agent orchestration · RAG · LLM observability |
| NVIDIA | Senior Applied Researcher, AI Agentic Systems | Semiconductors | 9 | Agent orchestration · RAG · LLM observability · Evals |
| ByteDance | AI Agent R&D Expert (PICO) - San Jose | Big Tech | 9 | Agent orchestration · Agent research · Evals · RAG · LLM observability |
| Senior Product Manager, Gemini Agentic Capabilities, DeepMind | Big Tech | 9 | Agent orchestration · Evals · Guardrails · Multimodal · Vision |
| Staff Software Engineer, Gemini App Personalization, DeepMind | Big Tech | 9 | Agent orchestration · Evals · LLM observability · RAG · Fine-tuning · Model serving · Recommender systems · Multimodal |
| NVIDIA | Senior Applied AI Researcher, Digital Biology | Semiconductors | 9 | Agent orchestration · Multimodal · LLM observability · Fine-tuning · Inference infra · Model serving · Frontier research · Interpretability · Code gen |
| Forward Deployed Engineer, Generative AI (GenMedia), Google Cloud | Big Tech | 9 | Agent orchestration · RAG · Vector DB · Evals · LLM observability · Model serving |
| OpenAI | Researcher, Agentic Post-Training | AI Frontier | 9 | RL post-training · Agent orchestration · Multi-agent · Evals · LLM observability · Fine-tuning |
| Target | Lead Engineer - GenAI | Retail | 9 | Agent orchestration · Agent research · LLM observability · RAG · Fine-tuning · Inference infra · Model serving · Synthetic data |
| Walmart | Senior Data Scientist: Associate AI Experience | Retail | 9 | Agent orchestration · Evals · RAG · Vector DB · Fine-tuning · Model serving · LLM observability |
| Walmart | Principal Data Scientist: Associate AI experience | Retail | 9 | Agent orchestration · Evals · RAG · Vector DB · Fine-tuning · Model serving · Multi-agent |
| Walmart | Distinguished Data Scientist: Associate AI Experience | Retail | 9 | Agent orchestration · Evals · RAG · Vector DB · Fine-tuning · Model serving · Multi-agent |
| Master's Fall Machine Learning Internship (ATG - Visual Search) | Consumer | 9 | Agent orchestration · Model serving · Inference infra · Multimodal · LLM observability |
| Dropbox | Senior Machine Learning Engineer, Dash Agentic AI | Enterprise | 9 | Agent orchestration · Evals · Guardrails · Fine-tuning · Inference infra · Model serving · RAG · Agent research |