AI Generalist - Automation & Client Implementation Specialist jobs in United States
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Chiri · 1 month ago

AI Generalist - Automation & Client Implementation Specialist

Chiri is a company that helps teams work smarter through their AI platform. The AI Generalist role focuses on developing internal AI-driven automation workflows and collaborating with clients to implement tailored AI solutions for efficiency and sustainable adoption.

Computer Software

Responsibilities

Work directly with client teams to assess AI readiness and adoption capacity using Chiri’s structured questionnaires
Deploy tailored AI automation solutions to address specific pain points (e.g., optimizing HR processes, streamlining financial workflows, or automating engineering tasks)
Build trust through empathetic, conversational engagement to ensure sustainable AI integration across industries
Test and implement AI-driven automation workflows using tools like Lindy, n8n, Zapier, Cursor, Claude Code, or OpenAI’s Codex CLI (familiarity recommended but not required)
Develop rapid prototypes for internal processes and a client intelligence platform to track ROI metrics (e.g., cost savings, time reductions)
Focus on scalable, user-friendly automations that enhance team efficiency
Design and deploy automation workflows using AI workflow builders and no-code/low-code platforms like Lindy, n8n, or Zapier to streamline internal operations and client servicing, targeting measurable outcomes like reduced processing times
Create and maintain test benches and empirical evaluation sets to assess and improve automation tool performance, prioritizing defined pass rates and measurable metrics over qualitative feedback
Optimize AI interactions for precise, context-aware outcomes tailored to specific use cases (e.g., HR talent management, finance analytics, or engineering integrations)
Partner with Chiri’s consulting team to align automations with client needs
Maintain clear documentation of automation performance and test results
Use task management tools like Linear or JIRA to track progress and ensure timely delivery
Independently prototype and iterate on automation workflows, adhering to project direction and delivering solutions that drive both internal efficiency and client value

Qualification

AI workflow buildersNo-code/low-code platformsContext engineeringEmpirical evaluation setsLinearJIRAAutomation expertiseIndependent task executionEnglish proficiencyCollaboration

Required

2-4 years of experience in automation-centered roles focused on internal tooling and process optimization
Proficiency with AI workflow builders and no-code/low-code platforms like Lindy, n8n, or Zapier for rapid automation prototyping
Strong understanding of context engineering, focusing on crafting precise AI-driven automation tailored to specific use cases (e.g., HR automation, finance workflows)
Ability to design and implement empirical evaluation sets and test benches to iteratively improve automation performance with measurable outcomes
Excellent English proficiency (at C1 CEFR Level for non-native speakers) for clear communication in client interactions, documentation, and team collaboration
Comfort with independent task execution and structured task management in tools like Linear or JIRA

Preferred

Bachelor's degree in Computer Science, Software Engineering, or a related field
Familiarity with coding platforms like Cursor, Claude Code, or OpenAI's Codex CLI to enhance automation workflows
Exposure to AWS or cloud-based tools for supporting automation processes
Passion for driving measurable outcomes through AI automation, such as workflow efficiency or cultural adoption

Benefits

Opportunities to grow with us as we evolve product innovation, with access to cutting-edge AI tools and training.
A fast-paced, remote team environment where your contributions directly impact high-growth clients in tech-forward industries.

Company

Chiri

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AI is moving fast—and most teams are fragmented trying to keep up. You’ve seen the demos. You’ve run the pilots.

Funding

Current Stage
Early Stage
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