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Designing, building, and operating AI agents for customer support automation. Production experience with LLMs, prompt engineering, and API design required. Equity options available.
Requirements
- Built and maintained AI agents or automations in production
- Deep technical understanding of LLMs, token economics, prompt engineering, API design, and orchestration patterns
- Ability to read protocol specs and see edge cases
- Obsession with experimentation and reliability
- Thinking in terms of error rates and customer satisfaction
- Instrumenting everything
- Not precious about agents; finds root cause of failures and fixes them
- Ability to kill clever solutions for simpler ones when appropriate
- Daily use of AI tools
- Active experimentation with models, prompts, workflows, and automations
- Strong opinions about what works and why
- Prefers owning problems over being told what to do
- Kindness and care for people around you
Tasks
- Design, build, and operate AI agents
- Automate customer support
- Supervise agents resolving customer issues
- Hand off issues to humans when needed
- Manage agent reliability, cost, and quality
- Track agent performance and failures
- Set agent budgets and tune behavior
- Adjust agent governance rules
- Design agent team structures
- Set up approval gates for agents
- Build infrastructure for autonomous agents
- Integrate agents with internal APIs
- Integrate agents with external APIs
- Experiment with new AI models and techniques
- Benchmark new AI models and techniques
- Ship AI improvements that enhance outcomes
Work Experience
- approx. 4 - 6 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI agents
- automations
- LLMs
- prompt engineering
- API design
- orchestration patterns
Benefits
Competitive Pay
- Equity
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Designing, building, and operating AI agents for customer support automation. Production experience with LLMs, prompt engineering, and API design required. Equity options available.
Requirements
- Built and maintained AI agents or automations in production
- Deep technical understanding of LLMs, token economics, prompt engineering, API design, and orchestration patterns
- Ability to read protocol specs and see edge cases
- Obsession with experimentation and reliability
- Thinking in terms of error rates and customer satisfaction
- Instrumenting everything
- Not precious about agents; finds root cause of failures and fixes them
- Ability to kill clever solutions for simpler ones when appropriate
- Daily use of AI tools
- Active experimentation with models, prompts, workflows, and automations
- Strong opinions about what works and why
- Prefers owning problems over being told what to do
- Kindness and care for people around you
Tasks
- Design, build, and operate AI agents
- Automate customer support
- Supervise agents resolving customer issues
- Hand off issues to humans when needed
- Manage agent reliability, cost, and quality
- Track agent performance and failures
- Set agent budgets and tune behavior
- Adjust agent governance rules
- Design agent team structures
- Set up approval gates for agents
- Build infrastructure for autonomous agents
- Integrate agents with internal APIs
- Integrate agents with external APIs
- Experiment with new AI models and techniques
- Benchmark new AI models and techniques
- Ship AI improvements that enhance outcomes
Work Experience
- approx. 4 - 6 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- AI agents
- automations
- LLMs
- prompt engineering
- API design
- orchestration patterns
Benefits
Competitive Pay
- Equity
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Langdock
Industry
IT
Description
The company focuses on AI and commercial roles, emphasizing the importance of technical minds in understanding products and customers.
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