AI Automation & Tool Use Engineer

Alignerr is focused on advancing AI technology, and they are seeking an AI Automation & Tool Use Engineer to work on agentic AI systems. The role involves designing and evaluating AI workflows, assessing AI-generated code, and collaborating with a global team on innovative AI projects.

Responsibilities:

• Design, test, and evaluate agentic AI workflows involving tool use, API calls, and multi-step task execution
• Assess AI-generated code and automation pipelines for correctness, efficiency, and reliability
• Build and refine function-calling schemas, tool orchestration patterns, and integration architectures
• Identify failure modes, edge cases, and error-handling gaps in AI agent behavior
• Provide structured, expert feedback to improve AI reasoning and task-planning capabilities
• Work across real-world scenarios spanning DevOps, CI/CD, cloud infrastructure, data pipelines, and workflow automation
• Collaborate asynchronously with a global team on cutting-edge agentic AI projects

Requirements:

• 3+ years of professional experience in software engineering, DevOps, automation, or workflow design
• Strong familiarity with API integrations — REST, GraphQL, webhooks — and function-calling paradigms
• Hands-on experience with orchestration tools, automation frameworks, or infrastructure-as-code (e.g., Terraform, Ansible, GitHub Actions, Airflow, Zapier, or similar)
• Comfortable reading and writing code in Python, JavaScript/TypeScript, or other popular languages
• Solid understanding of multi-step task execution, state management, and error handling in automated systems
• Sharp analytical instincts and meticulous attention to detail
• Clear written communication — you can articulate technical decisions and trade-offs precisely
• Self-motivated and comfortable working independently on flexible, task-based assignments
• Experience building or working with AI agents or LLM tool-use frameworks (e.g., LangChain, AutoGPT, CrewAI, OpenAI function calling)
• Background in cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
• Familiarity with prompt engineering or AI evaluation methodologies
• Experience designing developer tools, SDKs, or platform integrations