Key skills
JavaScriptTypeScriptPythonAILLMOpenAILangChainAgenticAirflowGraphQLAWSAzureGCPTerraformKubernetesDockerGitHub ActionsAnsibleGitHubCI/CDCommunication
About this role
Alignerr is seeking experienced software engineers, DevOps practitioners, and automation specialists to help build, evaluate, and improve AI agent systems. The role involves designing and testing AI workflows, assessing AI-generated code, and collaborating on cutting-edge AI projects.
Responsibilities:
- Design, test, and evaluate agentic AI workflows that involve 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
- 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
- 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
- Experience building or working with AI agents, 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