AI Summary
Design, test, and evaluate agentic AI workflows. Assess AI-generated code and automation pipelines. Collaborate with top research labs on cutting-edge agentic AI projects.
Key Highlights
Design and test agentic AI workflows
Assess AI-generated code and automation pipelines
Collaborate with top research labs
Key Responsibilities
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
Technical Skills Required
Benefits & Perks
Fully remote work
Flexible schedule
Opportunity for ongoing and expanding work
Nice to Have
Experience building or working with AI agents or LLM tool-use frameworks
Background in cloud platforms and containerization
Job Description
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
- 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
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
- 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
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- 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
- 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
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