Axon has 42 active AI-related job listings. The company is primarily hiring for roles related to agents, which constitute 33% of its AI openings, and application development, making up 31%. Engineering roles are the most frequent, accounting for 29 of the positions. In the last 30 days, Axon has added 23 new AI roles, representing a significant increase of 188% compared to the previous 30-day period.
Currently tracking 33 active AI roles, down 19% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$283k (avg $204k).
Axon currently has 39 active AI-related roles in our index. The most common open titles are: Senior D365 F&O Solutions Analyst (5), Sr. Full Stack Member of Technical Staff (5), Senior AI Research Scientist (3), Senior Machine Learning Scientist (3), Senior Software Engineer I (2). Most positions are in Engineering and Research.
Axon's active AI hiring is concentrated in: application (33%), agents (33%), post-training (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Axon is hiring AI talent in: United States (28 roles), Finland (6 roles), Vietnam (3 roles), United Kingdom (2 roles).
Job postings at Axon most frequently reference: model serving, multimodal, inference infra, agent orchestration, vision.
In the past 30 days, Axon has posted 5 new AI-related roles. That is a -69% change versus the prior 30 days (16 → 5).
| Title | Stage | AI score |
|---|---|---|
| (Senior) Research Scientist Research Scientist role focusing on AI applications (LLM, MLLM, Computer Vision, GenAI) in Cloud, Devices, and Robotics. Responsibilities include developing cutting-edge models, optimizing for resource-constrained devices, and contributing to publications. Requires PhD, 5+ years of experience, and a strong publication record. | Post-trainAgent | 9 |
| Sr. FullStack Member of Technical Staff This role is for a Senior Full-Stack Member of Technical Staff to join the CoreAI organization, focusing on end-to-end development of AI systems across Cloud, Edge Devices, Mission Critical, and Robotics platforms. The role involves operating across the full stack, from data and models to infrastructure and production deployment, delivering scalable AI solutions in computer vision, NLU, multimodal AI, and GenAI. The candidate will partner with research scientists, ML engineers, and product teams to translate algorithms into robust production systems. |
| ShipServe |
| 8 |