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Senior AI Software Engineer(m/w/x)
Designing and scaling custom agentic stacks with LLMs for mobility challenges in Europe. Hands-on LLM system design experience required. Company pension, JobRad bike leasing, subsidized Deutschlandticket.
Requirements
- Strong backend engineering background
- Proficiency in TypeScript and/or Python
- Experience building production microservices
- Experience building event-driven systems on cloud infrastructure
- Hands-on experience designing LLM-powered systems
- Hands-on experience designing agentic systems
- Experience with multi-step tool use
- Experience with retrieval
- Experience with evaluation
- Experience with prompt engineering
- Experience with context engineering
- Experience with safety and guardrails
- Comfort with modern AI-assisted development tools
- Opinion on AI-assisted development tools
- Familiarity with vector and hybrid retrieval
- Familiarity with MCP or similar agent-tool protocols
- Familiarity with model evaluation and observability
- Track record of taking ownership end-to-end
- Ability to talk to business about real problems
- Experience with architecture and delivery
- Experience measuring impact and iterating
- Pragmatic, experimental mindset
- Comfort with ambiguity
- Ability to make crisp trade-offs
- Focus on momentum
- Willingness to pivot away from non-working approaches
- Shipping continuous, meaningful feature iterations
- Awareness of responsible-AI dimension
- Awareness of data privacy (GDPR, EU data residency)
- Awareness of security
- Awareness of clear human approval points
- Naturally collaborative
- Ability to translate complex AI concepts
- Ability to bring people along
- Eagerness to influence beyond own code
- Spotting friction in company work
- Turning friction into automated, intelligent workflows
- Fluent English
Tasks
- Design and scale custom agentic stack
- Build LLM-powered systems for real-world challenges
- Maintain technical excellence in AI engineering
- Ensure GDPR-compliant data handling
- Lead practical AI adoption across the company
- Transform raw LLMs into reliable production systems
- Run live pilots of AI tools
- Enable teams to leverage AI in daily workflows
- Embed LLM-powered intelligence in core product
- Strengthen barrier-free parking platform with AI
- Own AI workstreams from problem framing to iteration
- Propose and drive AI technical roadmap
- Represent AI direction in cross-functional forums
- Take ownership of major initiatives
- Guide team members through technical challenges
- Champion continuous learning and development
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- TypeScript
- Python
- microservices
- event-driven systems
- cloud infrastructure
- LLM
- agentic systems
- multi-step tool use
- retrieval
- evaluation
- prompt engineering
- context engineering
- safety and guardrails
- AI-assisted development tools
- vector retrieval
- hybrid retrieval
- MCP
- agent-tool protocols
- model evaluation
- observability
Benefits
Retirement Plans
- Company pension plan
Corporate Discounts
- Corporate benefits
Company Bike
- JobRad bike leasing
Public Transport Subsidies
- Subsidized Deutschlandticket
Healthcare & Fitness
- EGYM Wellpass membership
Flexible Working
- Flexible working hours
- Remote work within the EU
Other Benefits
- Onboarding experience
- Access to AI models
Ergonomic Workplace
- Height-adjustable desks
Modern Equipment
- Modern Apple equipment
- Access to MCP servers
- Access to agentic tooling
Snacks & Drinks
- Free snacks
Free or Subsidized Food
- Subsidized office catering
- Weekly team lunch
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Senior AI Software Engineer(m/w/x)
Designing and scaling custom agentic stacks with LLMs for mobility challenges in Europe. Hands-on LLM system design experience required. Company pension, JobRad bike leasing, subsidized Deutschlandticket.
Requirements
- Strong backend engineering background
- Proficiency in TypeScript and/or Python
- Experience building production microservices
- Experience building event-driven systems on cloud infrastructure
- Hands-on experience designing LLM-powered systems
- Hands-on experience designing agentic systems
- Experience with multi-step tool use
- Experience with retrieval
- Experience with evaluation
- Experience with prompt engineering
- Experience with context engineering
- Experience with safety and guardrails
- Comfort with modern AI-assisted development tools
- Opinion on AI-assisted development tools
- Familiarity with vector and hybrid retrieval
- Familiarity with MCP or similar agent-tool protocols
- Familiarity with model evaluation and observability
- Track record of taking ownership end-to-end
- Ability to talk to business about real problems
- Experience with architecture and delivery
- Experience measuring impact and iterating
- Pragmatic, experimental mindset
- Comfort with ambiguity
- Ability to make crisp trade-offs
- Focus on momentum
- Willingness to pivot away from non-working approaches
- Shipping continuous, meaningful feature iterations
- Awareness of responsible-AI dimension
- Awareness of data privacy (GDPR, EU data residency)
- Awareness of security
- Awareness of clear human approval points
- Naturally collaborative
- Ability to translate complex AI concepts
- Ability to bring people along
- Eagerness to influence beyond own code
- Spotting friction in company work
- Turning friction into automated, intelligent workflows
- Fluent English
Tasks
- Design and scale custom agentic stack
- Build LLM-powered systems for real-world challenges
- Maintain technical excellence in AI engineering
- Ensure GDPR-compliant data handling
- Lead practical AI adoption across the company
- Transform raw LLMs into reliable production systems
- Run live pilots of AI tools
- Enable teams to leverage AI in daily workflows
- Embed LLM-powered intelligence in core product
- Strengthen barrier-free parking platform with AI
- Own AI workstreams from problem framing to iteration
- Propose and drive AI technical roadmap
- Represent AI direction in cross-functional forums
- Take ownership of major initiatives
- Guide team members through technical challenges
- Champion continuous learning and development
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Native
- German – Basic
Tools & Technologies
- TypeScript
- Python
- microservices
- event-driven systems
- cloud infrastructure
- LLM
- agentic systems
- multi-step tool use
- retrieval
- evaluation
- prompt engineering
- context engineering
- safety and guardrails
- AI-assisted development tools
- vector retrieval
- hybrid retrieval
- MCP
- agent-tool protocols
- model evaluation
- observability
Benefits
Retirement Plans
- Company pension plan
Corporate Discounts
- Corporate benefits
Company Bike
- JobRad bike leasing
Public Transport Subsidies
- Subsidized Deutschlandticket
Healthcare & Fitness
- EGYM Wellpass membership
Flexible Working
- Flexible working hours
- Remote work within the EU
Other Benefits
- Onboarding experience
- Access to AI models
Ergonomic Workplace
- Height-adjustable desks
Modern Equipment
- Modern Apple equipment
- Access to MCP servers
- Access to agentic tooling
Snacks & Drinks
- Free snacks
Free or Subsidized Food
- Subsidized office catering
- Weekly team lunch
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Unbekannt
Industry
IT
Description
The company develops an AI agentic stack with LLMs and microservices to solve mobility challenges across Europe.
Not a perfect match?
- Awin
Senior AI Engineer(m/w/x)
Full-timeWith HomeofficeSeniorBerlin, Hannover, München - SQUER
Senior Software Engineer - Applied AI & Data Products(m/w/x)
Full-timeWith HomeofficeSeniorMünchen - Machine Learning Reply
Agentic AI Software Engineer(m/w/x)
Full-timeWith HomeofficeJuniorMünchen, Berlin - GovRadar
Senior AI Engineer(m/w/x)
Full-timeRemoteSeniorMünchenfrom 75,000 - 85,000 / year - VESTIGAS
(Senior) AI Engineer / MLOps Engineer(m/w/x)
Full-timeWith HomeofficeSeniorMünchen