AI Engineer / AI Automation Specialist

Accountabilities:

• • Design, develop, and maintain AI-powered applications, intelligent agents, and automated business workflows.
  • Build agentic systems that combine LLMs, tools, APIs, business logic, and structured processes to execute real-world tasks.
  • Integrate LLMs and generative AI capabilities with internal systems, third-party platforms, and business applications.
  • Develop effective prompts, structured outputs, reusable AI components, and reliable workflows around generative AI models.
  • Build and optimize automation workflows using platforms such as Make, Zapier, n8n, or similar technologies.
  • Connect applications and business systems through APIs, webhooks, and event-driven integrations while maintaining reliable data flows.
  • Develop internal tools and technical solutions using Python and/or JavaScript/TypeScript to improve productivity and operational efficiency.
  • Test and evaluate prompts, agents, workflows, integrations, and AI outputs to identify edge cases, failure modes, and opportunities for improvement.
  • Implement appropriate safeguards, validation mechanisms, and reliability practices for AI-powered automation.
  • Troubleshoot issues across code, APIs, AI systems, and automation platforms, ensuring workflows remain stable and scalable.
  • Research and evaluate emerging LLMs, agent frameworks, AI coding tools, and automation technologies, identifying opportunities with clear business value.
  • Document AI systems, workflows, integrations, dependencies, and maintenance procedures to support scalability and long-term reliability.
  • Continuously improve AI-powered solutions based on real-world performance, user feedback, system metrics, and evolving business requirements.
  • Take ownership of projects from initial concept through implementation, deployment, and ongoing maintenance.

  Requirements:

  • Professional experience in software development, AI engineering, automation, or a related technical discipline.
  • Hands-on experience working with LLMs and generative AI, including building AI-powered applications, workflows, or automations.
  • Practical experience integrating APIs, third-party platforms, webhooks, and external services.
  • Strong programming skills in Python and/or JavaScript/TypeScript.
  • Understanding of prompt engineering, structured AI workflows, structured outputs, tool/function calling, and agentic development patterns.
  • Familiarity with AI coding tools and modern development workflows.
  • Experience designing, testing, troubleshooting, and maintaining reliable technical systems.
  • Strong analytical and problem-solving skills, with the ability to identify root causes and develop practical solutions.
  • Ability to independently take projects from an initial idea through technical implementation and deployment.
  • Strong written and spoken English communication skills.
  • Comfortable working independently in a remote environment and managing priorities with limited supervision.
  • Experience with Make, Zapier, n8n, or similar workflow automation platforms is highly desirable.
  • Experience building AI agents, multi-step agentic workflows, or AI-powered business automations is a strong advantage.
  • Familiarity with event-driven integrations, cloud deployment, structured LLM outputs, and AI system monitoring is beneficial.
  • Ability to think critically about AI reliability and recognize that AI-generated outputs require appropriate testing and validation.
  • Strong business mindset, with a focus on reducing manual work, improving efficiency, and delivering measurable operational value.

  Benefits:

  • Fully remote, full-time opportunity with working hours aligned with U.S. business hours.
  • Significant autonomy and ownership across AI engineering and business automation initiatives.
  • Opportunity to work hands-on with LLMs, AI agents, generative AI, APIs, and modern automation platforms.
  • Exposure to rapidly evolving AI technologies, agent frameworks, AI coding tools, and workflow automation solutions.
  • Opportunity to build systems that directly reduce repetitive work and improve business productivity.
  • Practical, outcome-focused environment where successful ideas can move quickly from experimentation to production.
  • Opportunities to develop both software engineering and AI automation expertise.
  • Flexible remote working environment designed to support independent and productive collaboration.
  • Competitive salary aligned with experience, technical expertise, and market standards.
  • Healthcare and other benefits, subject to the applicable employment package.
  • Professional development opportunities and exposure to emerging technologies.
  • Opportunity to contribute to measurable improvements in automation reliability, operational efficiency, and business processes.