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.
1894 AI roles tagged tool_use.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Canva | Senior Machine Learning Engineer - Agent Tools Interop (AU remote) | Enterprise | 9 | Agent orchestration · Evals · LLM observability · Guardrails |
| Canva | Senior Machine Learning Engineer - Agent Tools Interop (AU remote) | Enterprise | 9 | Agent orchestration · Evals · LLM observability · Guardrails |
| Adobe | Sr Machine Learning Engineer 5 -- AEP, Agentic System | Enterprise | 9 | Agent orchestration · RAG · LLM observability · Guardrails · Model serving · Inference infra |
| JPMorgan Chase | AI Agents Applied Engineer - Senior Associate | Banking | 9 | Agent orchestration · Fine-tuning · Model serving · Inference infra · Guardrails · LLM observability · Recommender systems · Search & ranking · RL post-training |
| SoFi | Principal Product Designer, Coach | Fintech | 9 | Agent orchestration |
| Anduril | AI Sorcerer | Defense | 9 | Agent orchestration · Evals · Multimodal |
| JPMorgan Chase | AI Agents Applied Research/Engineering Lead - Vice President | Banking | 9 | Agent orchestration · Guardrails · Fine-tuning · Model serving · Inference infra · Recommender systems · Search & ranking · RL post-training |
| Staff Software Engineer, Generative AI, Core ML | Big Tech | 9 | Agent orchestration · Evals · Fine-tuning · RL post-training · Reward modeling · Synthetic data · Agent research · Multimodal | |
| NVIDIA | Solutions Architect, Applied AI Builder | Semiconductors | 9 | Agent orchestration · Evals · RAG · Inference infra · Model serving · Synthetic data |
| NVIDIA | Machine Learning Engineer, GeForce G-Assist | Semiconductors | 9 | Agent orchestration · RAG · Inference infra · Model serving · Multimodal |
| NVIDIA | Senior Deep Learning Scientist, Multimodal Conversational AI | Semiconductors | 9 | Multimodal · Fine-tuning · RLHF · Vision · Audio & speech · Embodied AI · Agent orchestration |
| NVIDIA | Lead Principal Engineer, Enterprise Agentic AI Platform | Semiconductors | 9 | Agent orchestration · Evals · Guardrails · LLM observability · RAG · Inference infra · Model serving |
| Adobe | Technical Architect - Agentic Systems & Assistant Platforms | Enterprise | 9 | Agent orchestration · Multimodal · LLM observability · Model serving · Vision |
| Adobe | Machine Learning Engineer | Enterprise | 9 | Agent orchestration · Evals · LLM observability · Fine-tuning · Model serving · Vision · Multimodal |
| Microsoft | Research Intern - AI Frontiers - Reasoning & Agentic Models | Big Tech | 9 | Agent orchestration · Agent research · Frontier research · Multimodal · Pretraining · Fine-tuning · RL post-training |
| Amazon | Senior Applied Scientist, New Initiatives | Big Tech | 9 | Agent orchestration · RAG · Multimodal · LLM observability |
| Tempus AI | Senior Scientist II, Applied Machine Learning and Translational Agentic AI, Life Science R&D | Vertical AI | 9 | Agent orchestration · Multimodal · LLM observability · RAG · Fine-tuning · Model serving |
| Walmart | Distinguished, Software Engineer -AI/ML Engineer- Walmart Connect | Retail | 9 | Agent orchestration · Multimodal · RAG · Vector DB · Fine-tuning · Inference infra · Model serving · RL post-training · Agent research · LLM observability · Guardrails |
| Walmart | Staff, Data Scientist – Conversational AI | Retail | 9 | Agent orchestration · Evals · Guardrails · RAG · Fine-tuning · Model serving · LLM observability |
| ZoomInfo | Principal Product Manager, Agentic Tools & Orchestration | Enterprise | 9 | Agent orchestration · LLM observability · RAG |
| Staff Software Developer, Generative AI, Applied AI, Research | Big Tech | 9 | Agent orchestration · Multi-agent · RL post-training · Multimodal · LLM observability · Fine-tuning · Model serving | |
| Apple | Research Scientist, Applied Machine Learning Security (Agent Systems), SEAR | Big Tech | 9 | Agent orchestration · Evals · Guardrails · LLM observability |
| Grafana Labs | Staff AI Engineer | US | Remote | Data AI | 9 | Agent orchestration · RAG · LLM observability · Evals · Guardrails |
| Walmart | Principal, Data Scientist -- Agentic AI | Retail | 9 | Agent orchestration · LLM observability · RAG · Fine-tuning · Model serving · Agent research · Multimodal · Vision · Code gen |
| OpenAI | Applied AI Engineer, Codex Core Agent | AI Frontier | 9 | Agent orchestration · Evals · Fine-tuning · LLM observability · Code gen |
| OpenAI | Software Engineer, Codex Core Agents | AI Frontier | 9 | Agent orchestration · Inference infra · Model serving |
| NVIDIA | Senior AI ML Solution Engineer, AI-Native Development | Semiconductors | 9 | Agent orchestration · Evals · Fine-tuning · RAG · Code gen |
| Adobe | Chief Architect for Adobe Intelligence Platform | Enterprise | 9 | Agent orchestration · Multi-agent · RAG |
| Snowflake | AI Engineer - Cortex Code Quality | Data AI | 9 | Agent orchestration · Evals · Guardrails · LLM observability · RAG · Code gen |
| Canva | Staff Machine Learning Engineer - Integrations & Solutions Group (AU remote) | Enterprise | 9 | Agent orchestration · Evals · LLM observability |
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.