About the Role
About The Role
AI agents are rapidly moving from demos to production — and the engineers who understand how they work will define what's possible. We're looking for experienced software engineers, DevOps practitioners, and automation specialists to help build, evaluate, and improve AI agent systems that use tools, call APIs, and execute complex multi-step workflows.
This is a rare opportunity to work directly on the frontier of agentic AI, collaborating with top research labs on projects that shape how the next generation of AI systems reason, plan, and act in the real world.
• Organization: Alignerr
• Type: Hourly Contract
• Location: 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 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
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
• 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
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 influence how AI agents use tools and take action in the real world
• Collaborate with top AI research labs on projects that genuinely matter
• Fully remote with complete schedule flexibility — work when and where you want
• Freelance autonomy with the opportunity for ongoing and expanding work
• Deep exposure to advanced LLMs, agent architectures, and how they're trained and evaluated
• Global community of engineers and researchers pushing AI forward together