DevJobs

AI Solution Engineer

Overview
Skills
  • Python Python ꞏ 4y
  • Go Go ꞏ 4y
  • Node.js Node.js ꞏ 4y
  • Agent frameworks
  • Generative AI
  • Automation platforms
  • Internal tooling

Why Join Us?


Harmony SASE is building the next generation of secure access services – enabling organizations to connect users, sites, and applications safely and seamlessly from anywhere.

As part of our ongoing innovation, we’re expanding our capabilities around AI-driven development and automation.


The Dev AI Infra & Tools team leads this transformation - building the internal platforms and tools that empower our engineers to design, test, and deliver faster, smarter, and more securely.


You’ll work hands-on with Generative AI frameworks and agents, developing the systems and integrations that change the way our engineering teams work.


Key Responsibilities


  • Design and build AI-driven internal tools that enhance developer productivity.
  • Develop and maintain the infrastructure supporting GenAI agents and automation frameworks.
  • Prototype and experiment rapidly, turning ideas into practical solutions.
  • Collaborate with DevOps, backend, and product engineers to identify and implement high-impact GenAI use cases.
  • Evaluate new Generative AI and agent-based technologies and integrate the most promising ones into production.
  • Define and track efficiency metrics to continuously improve developer velocity and experience.


Qualifications


  • 4+ years of experience in software engineering (Python, Node.js, Go, or similar).
  • Hands-on experience working with Generative AI tools or agent frameworks.
  • A bias for action and experimentation – comfortable moving fast from idea to prototype.
  • Strong collaboration and communication skills across technical and non-technical teams.
  • Bonus: We are looking for innovators, people with creative minds who like to take their ideas to production
  • Bonus: Experience in Python is an advantage
  • Bonus: experience with automation platforms, internal tooling, or integrating AI into developer workflows.
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