About the Role
About The Role
AI agents are moving beyond conversation — they're calling APIs, executing code, orchestrating pipelines, and taking real action in the world. We're looking for experienced software engineers and DevOps practitioners to help build, evaluate, and improve these systems at the frontier of agentic AI.
Your expertise will directly shape how the next generation of AI reasons, plans, and operates in complex real-world environments. This is hands-on, high-impact work that matters.
• 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 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 of engineers and researchers 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 popular languages
• Solid understanding of multi-step task execution, state management, and error handling in automated systems
• Strong analytical and problem-solving skills with meticulous attention to detail
• Clear written communication — able to articulate technical decisions and trade-offs
• 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 of agentic AI — help define how AI systems use tools and take action in the real world
• Collaborate with top AI research labs on projects that push the boundaries of what's possible
• Fully remote with complete schedule flexibility — work when and where you want
• Freelance autonomy with the opportunity for ongoing and expanding work
• Gain deep, hands-on exposure to advanced LLMs, agent architectures, and how they're trained
• Be part of a global community of engineers and researchers shaping the future of AI