Senior Software Engineer I, Applied AI
Axon · Atlanta, Georgia, United States; Boston, Massachusetts, United States; San Francisco, California, United States; Scottsdale, Arizona, United States; Seattle, Washington, United States
Posted 22 days ago · Previously reposted
or apply directly on Axon's site. We never take the application ourselves.
Is this posting real?
- This role has been open
- 22 days Axon's roles stay open a median of 45 days
- Reposted
- Yes taken down and listed again at least once
- Salary listed
- No 2% of Axon's roles list one
- Ghost-job risk at Axon
- low 0 stale, 11 reposted of 526 open
- Hiring momentum
- 811 roles opened in the last 90 days ↑ up vs. the prior 90 days
- Last confirmed on the employer's board
- 2026-09-17
Measured from postings appearing on and disappearing from Axon's own greenhouse board since 2026-08-03. Full hiring picture for Axon.
About this role
As a Senior Software Engineer on Axon's Corporate AI Team, you will design, build, and scale the internal AI platform known as Cortex, which enhances productivity for Axon employees through AI-powered tools. Your responsibilities include developing core services, integrating with various enterprise systems, and ensuring the reliability and security of AI applications. This role is hands-on, focusing on coding and system operations rather than people management.
- benefits
- 1/5
- freshness
- 4/5
- career value
- 4/5
- role clarity
- 5/5
- pay transparency
- 0/5
Scored from the posting itself — how clearly the role is described, how much it says about pay and benefits, and how recently it was listed. Not a judgement of Axon as an employer.
What you need
- Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience
- 4+ years of professional software engineering experience, including building and operating production services or platforms
- Strong proficiency in at least one of: Python, TypeScript/JavaScript, or Java
- Experience with at least one major cloud provider (AWS, Azure, or GCP) and comfort working with cloud-native services
- Solid understanding of web service fundamentals (APIs, authentication/authorization, observability, CI/CD)
- Demonstrated interest in AI/ML and LLMs
Nice to have
- Hands-on work with LLM platforms and tools
- Experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake
- Familiarity with RAG (Retrieval-Augmented Generation)
- Exposure to DevOps / platform engineering
- Experience building internal platforms or self-service tools
What you get
- Compensation includes base pay, bonus, and stock awards
- Array of benefits to support physical, financial, and emotional well-being
Worth weighing
- No specific salary listed, but a range is provided
- Role emphasizes hands-on engineering over management, which may not suit all candidates
- Fast-paced and experimental environment may require adaptability
Summarised from Axon's posting. Read the full original.
Listed by Axon on their greenhouse job board, last confirmed open on 2026-09-17. PitchMeAI is not the employer.
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