Axon

Axon

Axon, formerly TASER International, is a global leader in public safety technology. From smart weapons to body cameras and evidence management software, Axon provides safe and secure solutions for law enforcement, militaries, and citizens. With a missi...

Professional Services
1K-5K
Founded 1993

Description

  • Design, build, and operate services for Axon’s internal AI platform, including chat experiences, agents, and enterprise integrations.
  • Own and extend connectors and MCP integrations for systems such as Jira, Quip, Slack, Microsoft 365, and Snowflake.
  • Implement standard patterns for deploying AI-driven applications across Axon’s cloud environments.
  • Drive new AI features through the full lifecycle from prototype to production, including testing, rollout, and operations.
  • Evaluate AI services such as OpenAI, AWS Bedrock, and Azure ML for fit, performance, and cost.
  • Implement monitoring, alerting, and auditing to keep AI services healthy, traceable, and reliable in production.
  • Define and document best practices for GPT/LLM development, including prompt engineering, RAG, agentic workflows, and safe tool use.
  • Partner with architects and internal teams to shape reference architectures for scalable, resilient, observable AI applications.
  • Contribute starter kits, training materials, and templates that help others build on the platform.
  • Collaborate with Data Engineering, Security, Governance, and business teams to turn real workflows into secure AI solutions.

Requirements

  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • 4+ years of professional software engineering experience 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.
  • Comfort working with cloud-native services such as functions, containers, managed databases, queues, and storage.
  • Solid understanding of web service fundamentals, including APIs, authentication/authorization, observability, and CI/CD.
  • Demonstrated interest in AI/ML and LLMs, such as integrating with OpenAI, Bedrock, or similar APIs.
  • Basic understanding of security best practices, including secrets management, least-privilege access, and audit logging.
  • Strong communication and collaboration skills in a fast-moving, experimental environment.
  • Preferred: hands-on experience with LLM platforms and tools such as OpenAI, AWS Bedrock, Azure OpenAI, or Azure ML Studio.
  • Preferred: experience integrating with enterprise systems like Jira, Confluence/Quip, Slack, M365, Salesforce, or Snowflake via APIs or connectors.
  • Preferred: familiarity with RAG, semantic search, or vector stores in production contexts.
  • Preferred: exposure to DevOps or platform engineering tools such as Terraform, GitHub Actions, Docker, Kubernetes, and monitoring stacks.
  • Preferred: experience building internal platforms or self-service tools used by multiple teams.
  • Preferred: participation in internal trainings, office hours, documentation, or community programs.
  • Some roles may require legal eligibility to work in a firearms environment.

Benefits

  • Base pay range of $141,000 to $225,600 USD.
  • Total compensation includes base pay, bonus, and stock awards.
  • Benefits designed to support employees physically, financially, and emotionally.
  • Flexible benefits options to support major life milestones and everyday needs.
  • Opportunity to work for a mission-driven company focused on public safety and justice.
  • Commitment to diverse, equitable, and inclusive teams.
  • Application support and accommodation assistance for candidates with disabilities or special needs.

Interested in this position?

Apply directly on the company website

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