Langdock
Agent Engineer(m/w/x)
Full-timeOn-siteSenior
Berlin
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Designing and implementing self-learning AI agents for enterprise automation. Prompt engineering and Python/Node.js skills required. Hybrid work, 4-week workation option.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or related technical field
- At least 5 years of experience in Solution Engineering, IT Consulting, Implementation, or Deployment Engineering
- Strong hands-on experience with prompt engineering, including writing, testing, and optimizing prompts
- Programming skills, especially in Python or Node.js
- Solid understanding of APIs and integration
- Project management experience, managing delivery timelines and client expectations
- Experience engaging directly with clients for requirement gathering and solution delivery
- Analytical and process-driven mindset, structural thinking
- Excellent communication skills, ability to explain technical concepts clearly
- Passion for staying up to date with AI trends, tools, and industry developments
- Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar
- Background in AI/ML or experience applying AI to business workflows
- Experience in fast-paced or startup environments
- Bachelor's Degree
- Mid-Senior level experience
Tasks
- Drive AI automation deployment lifecycle
- Understand customer requirements
- Design AI automation solutions
- Implement AI automations using Agent OS
- Engage with customers on technical teams
- Engage with customers on executive teams
- Discover automation opportunities with customers
- Build AI solutions to improve operations
- Collaborate with product teams
- Collaborate with engineering teams
- Collaborate with solutions teams
- Scope new features
- Define new features
- Implement new features
- Design agentic automations
- Engineer scalable prompts
- Engineer efficient prompts
- Integrate prompts into customer workflows
- Stay updated on AI advancements
- Apply AI to solve business problems
- Drive new platform features
- Troubleshoot technical issues
- Guide customers on implementation
- Guide internal teams on implementation
- Advise customers on best practices
- Help customers adopt AI agents
- Identify integration opportunities
- Scope API-based integrations
- Manage API-based integrations
- Provide feedback from use cases
- Improve the AI platform
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Node.js
- APIs
- Zapier
- Make
- Relevance AI
- Lindy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Beam AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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Designing and implementing self-learning AI agents for enterprise automation. Prompt engineering and Python/Node.js skills required. Hybrid work, 4-week workation option.
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, AI, or related technical field
- At least 5 years of experience in Solution Engineering, IT Consulting, Implementation, or Deployment Engineering
- Strong hands-on experience with prompt engineering, including writing, testing, and optimizing prompts
- Programming skills, especially in Python or Node.js
- Solid understanding of APIs and integration
- Project management experience, managing delivery timelines and client expectations
- Experience engaging directly with clients for requirement gathering and solution delivery
- Analytical and process-driven mindset, structural thinking
- Excellent communication skills, ability to explain technical concepts clearly
- Passion for staying up to date with AI trends, tools, and industry developments
- Familiarity with no-code tools such as Zapier, Make, Relevance AI, Lindy, or similar
- Background in AI/ML or experience applying AI to business workflows
- Experience in fast-paced or startup environments
- Bachelor's Degree
- Mid-Senior level experience
Tasks
- Drive AI automation deployment lifecycle
- Understand customer requirements
- Design AI automation solutions
- Implement AI automations using Agent OS
- Engage with customers on technical teams
- Engage with customers on executive teams
- Discover automation opportunities with customers
- Build AI solutions to improve operations
- Collaborate with product teams
- Collaborate with engineering teams
- Collaborate with solutions teams
- Scope new features
- Define new features
- Implement new features
- Design agentic automations
- Engineer scalable prompts
- Engineer efficient prompts
- Integrate prompts into customer workflows
- Stay updated on AI advancements
- Apply AI to solve business problems
- Drive new platform features
- Troubleshoot technical issues
- Guide customers on implementation
- Guide internal teams on implementation
- Advise customers on best practices
- Help customers adopt AI agents
- Identify integration opportunities
- Scope API-based integrations
- Manage API-based integrations
- Provide feedback from use cases
- Improve the AI platform
Work Experience
- 5 years
Education
- Vocational certificationOR
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Node.js
- APIs
- Zapier
- Make
- Relevance AI
- Lindy
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Beam AI and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Beam AI
Industry
IT
Description
Beam AI builds self-learning AI agents and an organizational OS, helping enterprises become AI-native with adaptive automation.
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