About The Role 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 multi-step workflows. Your expertise will directly shape how AI agents interact with the real world.
Organization: Alignerr
Type: Hourly Contract
Compensation: $20–$40 /hour
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
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
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
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, 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 on 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 matter
Fully remote with complete schedule flexibility — work when and where you want
Freelance autonomy with the opportunity for ongoing and expanding work
Gain deep exposure to advanced LLMs, agent architectures, and how they're trained
Be part of a global community of engineers and researchers pushing AI forward
Application Process (Takes 10–15 min)
Submit your resume
Complete a short technical screening
Project matching and onboarding
PS: Our team reviews applications daily. Please complete your application steps to be considered for this opportunity.