OpenAI
Forward Deployed Engineer(m/w/x)
Full-timeWith HomeofficeSenior
München
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ANAnthropic
Forward Deployed Engineer, Applied AI(m/w/x)
München
from 205,000 - 220,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building production applications with Claude models, delivering MCP servers and sub-agents for enterprise clients. Frequent customer site travel and production experience with LLMs required. Optional equity donation matching, flexible working hours.
Requirements
- 4+ years technical customer-facing experience (e.g., Forward Deployed Engineer, Software Engineer with consulting experience)
- Background as a technical founder (encouraged)
- Production experience with LLMs (advanced prompt engineering, agent development, evaluation frameworks, deployment at scale)
- Strong programming skills
- Proficiency in Python
- Ideal proficiency in additional languages (e.g., TypeScript, Java)
- Experience shipping production applications
- High agency and ability to navigate ambiguity in complex organizations
- High cooperation mindset for cross-organizational collaboration, balancing priorities with integrity
- Passion for advancing safe, beneficial AI systems
- Strong communication skills (customer discovery, technical concepts, low ego, collaborative)
- Background in financial services, healthcare/life sciences, or another enterprise vertical (plus)
- Experience with enterprise IT systems and/or AI deployment patterns (plus)
- Bachelor's degree in a related field or equivalent experience
Tasks
- Build production applications with Claude models in customer systems.
- Ensure applications meet customer requirements.
- Deliver technical artifacts like MCP servers and agent skills.
- Provide white glove deployment support for Anthropic products.
- Identify and codify repeatable deployment patterns.
- Contribute insights to Product and Engineering teams.
- Stay updated on LLM and AI development stacks.
- Build long-term relationships with customers.
- Identify new AI deployment opportunities throughout engagement.
- Travel frequently (25-50%) to build with customers.
- Champion Anthropic's mission in the field.
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLMs
- prompt engineering
- agent development
- evaluation frameworks
- Python
- TypeScript
- Java
- AI deployment patterns
Benefits
Competitive Pay
- Competitive compensation
Social Impact
- Optional equity donation matching
More Vacation Days
- Generous vacation
Generous Parental Leave
- Generous parental leave
Flexible Working
- Flexible working hours
Modern Office
- Collaborative office space
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Anthropic 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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ANAnthropic
Forward Deployed Engineer, Applied AI(m/w/x)
München
from 205,000 - 220,000 / year
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Building production applications with Claude models, delivering MCP servers and sub-agents for enterprise clients. Frequent customer site travel and production experience with LLMs required. Optional equity donation matching, flexible working hours.
Requirements
- 4+ years technical customer-facing experience (e.g., Forward Deployed Engineer, Software Engineer with consulting experience)
- Background as a technical founder (encouraged)
- Production experience with LLMs (advanced prompt engineering, agent development, evaluation frameworks, deployment at scale)
- Strong programming skills
- Proficiency in Python
- Ideal proficiency in additional languages (e.g., TypeScript, Java)
- Experience shipping production applications
- High agency and ability to navigate ambiguity in complex organizations
- High cooperation mindset for cross-organizational collaboration, balancing priorities with integrity
- Passion for advancing safe, beneficial AI systems
- Strong communication skills (customer discovery, technical concepts, low ego, collaborative)
- Background in financial services, healthcare/life sciences, or another enterprise vertical (plus)
- Experience with enterprise IT systems and/or AI deployment patterns (plus)
- Bachelor's degree in a related field or equivalent experience
Tasks
- Build production applications with Claude models in customer systems.
- Ensure applications meet customer requirements.
- Deliver technical artifacts like MCP servers and agent skills.
- Provide white glove deployment support for Anthropic products.
- Identify and codify repeatable deployment patterns.
- Contribute insights to Product and Engineering teams.
- Stay updated on LLM and AI development stacks.
- Build long-term relationships with customers.
- Identify new AI deployment opportunities throughout engagement.
- Travel frequently (25-50%) to build with customers.
- Champion Anthropic's mission in the field.
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- LLMs
- prompt engineering
- agent development
- evaluation frameworks
- Python
- TypeScript
- Java
- AI deployment patterns
Benefits
Competitive Pay
- Competitive compensation
Social Impact
- Optional equity donation matching
More Vacation Days
- Generous vacation
Generous Parental Leave
- Generous parental leave
Flexible Working
- Flexible working hours
Modern Office
- Collaborative office space
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Anthropic 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
Anthropic
Industry
Science
Description
The company aims to create reliable, interpretable, and steerable AI systems for safe and beneficial use.
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