1899 AI roles tagged tool_use.
| Company | Title | Sector | AI score | Other tags |
|---|---|---|---|---|
| Postman | Member of Technical Staff, AI Agent Development Lead | Enterprise | 9 | Agent orchestration · Agent research · Guardrails · LLM observability · Fine-tuning · Model serving · RL post-training |
| Lila Sciences | Machine Learning Scientist I/II, Scientific Reasoning | AI Frontier | 9 | Agent orchestration · RAG · Fine-tuning · Multimodal · Agent research |
| Lila Sciences | Research Engineer, Frontier Capabilities | AI Frontier | 9 | Fine-tuning · RL post-training · Agent orchestration · Model serving · Inference infra |
| Lila Sciences | Senior / Engineer II, AI Lab Research Engineer | AI Frontier | 9 | Agent orchestration · Code gen · Evals · LLM observability · RL robotics · Embodied AI |
| Anthropic | Research Engineer / Scientist, Tool Use Safety | AI Frontier | 9 | Agent orchestration · Evals · Guardrails · RL post-training · Agent research · Fine-tuning · LLM observability |
| Cognition | Special Projects Engineer - Europe | Coding AI | 9 | Agent orchestration |
| Cohere | Member of Technical Staff, Agents Modeling | AI Frontier | 9 | Agent orchestration · Agent research · Fine-tuning · Synthetic data · RL post-training |
| Anthropic | Research Engineer / Scientist, Tool Use | AI Frontier | 9 | Agent orchestration · RL robotics · Evals · Guardrails · Fine-tuning · Model serving |
| Anthropic | Machine Learning Systems Engineer - Data & Evaluation, Horizons | AI Frontier | 9 | Agent orchestration · Evals · LLM observability · RAG · Fine-tuning · RL post-training |
| Airbnb | Senior Staff Machine Learning Engineer, Data & Eval | Consumer | 9 | Evals · LLM observability · Guardrails · RAG · Agent orchestration · Fine-tuning · Synthetic data |
| Sierra | Software Engineer, Agent | AI Frontier | 9 | Agent orchestration · Evals · RAG · LLM observability · Audio & speech · Multimodal |
| Cohere | Member of Technical Staff, MLE (North) | AI Frontier | 9 | Agent orchestration · RAG · Fine-tuning · LLM observability |
| Cresta | Senior Machine Learning Engineer | Vertical AI | 9 | Agent orchestration · RAG · Evals · LLM observability · Model serving |
| Anthropic | Research Manager, Horizons | AI Frontier | 9 | Frontier research · RL post-training · Agent research · Code gen |
| Anthropic | Research Engineer, Agents | AI Frontier | 9 | Agent orchestration · Evals · Fine-tuning · Agent research |
| Pika Labs | Senior Software Engineer, Backend/Infra | AI Frontier | 8 | Agent orchestration · LLM observability · RAG · Vector DB · Inference infra · Model serving · Multimodal |
| Smartsheet | Sr Principal Data Scientist | Seattle | 8 | Agent orchestration · Evals · Guardrails · RAG · Fine-tuning · Model serving · Recommender systems · LLM observability |
| Chegg | Senior Software Engineer - Agentic AI Applications | Consumer | 8 | Agent orchestration · Evals · Guardrails · LLM observability · RAG · Vector DB · Fine-tuning · Model serving · Multimodal |
| Comcast | Principal Machine Learning Engineer | Media | 8 | Recommender systems · Search & ranking · Fine-tuning · Agent orchestration · Inference infra · Model serving |
| Replit | Head of Forward Deployed Engineering | Enterprise | 8 | Agent orchestration |
| Sigma Computing | Senior Product Designer, AI | Data AI | 8 | Agent orchestration · Evals · Fine-tuning · Code gen · LLM observability |
| Sigma Computing | Senior AI/ML Engineer | Data AI | 8 | Agent orchestration · Model serving · Inference infra · Recommender systems · Multimodal · Fine-tuning |
| Sigma Computing | Senior AI/ML Engineer | Data AI | 8 | Agent orchestration · Model serving · Inference infra · Recommender systems · Multimodal · Fine-tuning |
| Oura | AI Fullstack Engineer, Health Intelligence | Consumer | 8 | Agent orchestration · Evals · LLM observability · RAG · Fine-tuning · Model serving |
| Chegg | Machine Learning/ AI Engineer | Consumer | 8 | Agent orchestration · RAG · LLM observability · Model serving · Inference infra · Recommender systems |
| Ford | Senior Data Scientist | Auto | 8 | Agent orchestration · RAG · LLM observability · Fine-tuning · Inference infra · Model serving · Recommender systems |
| JPMorgan Chase | Quantitative Trading & Research - Applied Researcher – Agentic AI Systems - Associate | Banking | 8 | Agent orchestration · RAG · Evals · Fine-tuning · LLM observability |
| Datadog | Staff Applied Scientist - Dashboards | Enterprise | 8 | Evals · Agent orchestration · LLM observability · Guardrails |
| Amazon | Sr Data Scientist, SPX AI Lab, SPX Science | Big Tech | 8 | Agent orchestration · Evals |
| Adobe | Forward-Deployed AI Engineer - Marketing Analytics & Data Science | Enterprise | 8 | Agent orchestration |
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.
1,237 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, 1,237 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.