About the Role
About The Role
AI agents are learning to use tools, call APIs, and execute complex multi-step workflows — and your expertise will help them do it better. We're looking for experienced software engineers, DevOps practitioners, and automation specialists to build, evaluate, and improve the agentic AI systems that are defining the next generation of artificial intelligence.
This is a rare opportunity to work at the frontier of AI development, collaborating with top research labs on problems that genuinely matter. You'll bring your real-world engineering experience directly to bear on how AI systems reason, plan, and take action.
• Organization: Alignerr
• Type: Hourly Contract
• Location: Fully Remote
• Commitment: 10–40 hours/week
What You'll Do
• 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 that directly improves 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
Who You Are
• 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
• 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 widely used languages
• Solid understanding of multi-step task execution, state management, and error handling in automated systems
• Strong analytical and problem-solving skills with sharp attention to detail
• Clear written communicator — able to articulate technical decisions and trade-offs concisely
• Self-motivated and comfortable working independently on flexible, task-based assignments
Nice to Have
• 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
Why Join Us
• Work at the frontier — directly shape how AI agents interact with the real world
• Real impact — your feedback influences how advanced AI systems are trained and improved
• Fully remote — work from anywhere, entirely on your own schedule
• Freelance autonomy — flexible, task-based structure with potential for ongoing and expanding work
• Deep AI exposure — gain hands-on experience with cutting-edge LLMs, agent architectures, and training methodologies
• Global community — collaborate asynchronously with engineers and researchers from around the world