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Senior AI Agent Engineer(m/w/x)
Designing and deploying Gen3 systems for automated conversational interfaces. Experience adapting academic ML research into production-ready code required. Direct evaluation of leading foundation models.
Requirements
- Ph.D or Masters in relevant field
- Deep understanding of foundational ML concepts
- Experience adapting academic research into production-ready code
- Familiarity with fine-tuning techniques
- Expert in Python, FastAPI, and LLM SDKs
- Managing LLM token budgets and latency
- Defending against prompt injection and implementing guardrails
- Implementing LLM evaluation frameworks and monitoring
- Building and optimizing RAG pipelines
- Integrating agents with external tools and APIs
- Deep understanding of prompt engineering and LLM behavior
- Designing agents with long-term memory and complex planning
Tasks
- Design and develop scalable AI agents using Python and modern frameworks
- Integrate AI agent solutions with enterprise systems and third-party APIs
- Evaluate and select foundation models from providers like OpenAI and Google
- Drive the lifecycle of AI Agent deployment with cross-functional teams
- Troubleshoot and optimize AI systems for performance and reliability
- Establish platforms for evaluating AI agent performance and defining metrics
- Document development processes, architectural decisions, and research findings
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LangChain
- Autogen
- OpenAI
- Anthropic
- Redis
- AWS
- GCP
- Azure
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Senior AI Agent Engineer(m/w/x)
Designing and deploying Gen3 systems for automated conversational interfaces. Experience adapting academic ML research into production-ready code required. Direct evaluation of leading foundation models.
Requirements
- Ph.D or Masters in relevant field
- Deep understanding of foundational ML concepts
- Experience adapting academic research into production-ready code
- Familiarity with fine-tuning techniques
- Expert in Python, FastAPI, and LLM SDKs
- Managing LLM token budgets and latency
- Defending against prompt injection and implementing guardrails
- Implementing LLM evaluation frameworks and monitoring
- Building and optimizing RAG pipelines
- Integrating agents with external tools and APIs
- Deep understanding of prompt engineering and LLM behavior
- Designing agents with long-term memory and complex planning
Tasks
- Design and develop scalable AI agents using Python and modern frameworks
- Integrate AI agent solutions with enterprise systems and third-party APIs
- Evaluate and select foundation models from providers like OpenAI and Google
- Drive the lifecycle of AI Agent deployment with cross-functional teams
- Troubleshoot and optimize AI systems for performance and reliability
- Establish platforms for evaluating AI agent performance and defining metrics
- Document development processes, architectural decisions, and research findings
Work Experience
- approx. 4 - 6 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- LangChain
- Autogen
- OpenAI
- Anthropic
- Redis
- AWS
- GCP
- Azure
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Zendesk GmbH (Germany)
Industry
IT
Description
The company is revolutionizing the chatbot and voice assistance landscape with Gen3, a cutting-edge AI Agent system.
Not a perfect match?
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