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Senior AI Engineer(m/w/x)
Designing GenAI deployment architecture on Google Cloud with RAG and agentic AI frameworks. Production AI/GenAI experience with MLOps knowledge required. Deutschlandticket, company pension plan.
Requirements
- Degree in Computer Science, IT, Engineering, Mathematics or similar with strong quantitative profile
- Proficiency in public cloud technologies for AI deployment architectures (Google Cloud experience necessary)
- Knowledge of MLOps, data connections, APIs, databases, security and access concepts
- Hands-on experience with AI, GenAI, LLMs or agentic AI in production
- Experience with RAG architectures, vector databases, agentic AI frameworks (ADK, LangChain, LangGraph) or comparable
- Understanding of software engineering best practices (clean architecture, testing, versioning, documentation, maintainable code)
- Strong Python engineering skills for backend services, APIs, databases, cloud-native components
- Ability to communicate technical concepts to non-technical audience
- Proactive, self-steering attitude and strong analytical, problem-solving mindset
- Capability to navigate and deliver in dynamic and regulated enterprise environments
- Passion for innovation and feel for sustainable solutions
- Fluent written and spoken English, basic German skills
Tasks
- Design and implement deployment architecture for GenAI solutions
- Leverage cloud technologies to optimize AI performance
- Collaborate with cross-functional teams for seamless integration
- Stay updated with the latest GenAI trends and advancements
- Evaluate and apply innovative techniques to improve GenAI capabilities
- Mentor and support junior engineers
- Share expertise to foster a culture of continuous learning
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Google Cloud
- AI
- GenAI
- LLMs
- agentic AI
- RAG architectures
- vector databases
- ADK
- LangChain
- LangGraph
- Python
Benefits
Retirement Plans
- Company pension plan
Other Benefits
- Capital-building offers
Public Transport Subsidies
- Deutschlandticket
Company Bike
- Bicycle leasing
Free or Subsidized Food
- Company restaurant
Flexible Working
- Hybrid working
- Remote work possible
- Individualized work schedule models
Workation & Sabbatical
- Sabbatical
Additional Allowances
- Subsidization of nursing costs
- Personal budget for continuing education
- Personal budget for development
- Personal budget for mobile working space
Childcare
- Subsidization of childcare costs
Healthcare & Fitness
- Personal budget for health
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Senior AI Engineer(m/w/x)
Designing GenAI deployment architecture on Google Cloud with RAG and agentic AI frameworks. Production AI/GenAI experience with MLOps knowledge required. Deutschlandticket, company pension plan.
Requirements
- Degree in Computer Science, IT, Engineering, Mathematics or similar with strong quantitative profile
- Proficiency in public cloud technologies for AI deployment architectures (Google Cloud experience necessary)
- Knowledge of MLOps, data connections, APIs, databases, security and access concepts
- Hands-on experience with AI, GenAI, LLMs or agentic AI in production
- Experience with RAG architectures, vector databases, agentic AI frameworks (ADK, LangChain, LangGraph) or comparable
- Understanding of software engineering best practices (clean architecture, testing, versioning, documentation, maintainable code)
- Strong Python engineering skills for backend services, APIs, databases, cloud-native components
- Ability to communicate technical concepts to non-technical audience
- Proactive, self-steering attitude and strong analytical, problem-solving mindset
- Capability to navigate and deliver in dynamic and regulated enterprise environments
- Passion for innovation and feel for sustainable solutions
- Fluent written and spoken English, basic German skills
Tasks
- Design and implement deployment architecture for GenAI solutions
- Leverage cloud technologies to optimize AI performance
- Collaborate with cross-functional teams for seamless integration
- Stay updated with the latest GenAI trends and advancements
- Evaluate and apply innovative techniques to improve GenAI capabilities
- Mentor and support junior engineers
- Share expertise to foster a culture of continuous learning
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degree
Languages
- English – Fluent
- German – Basic
Tools & Technologies
- Google Cloud
- AI
- GenAI
- LLMs
- agentic AI
- RAG architectures
- vector databases
- ADK
- LangChain
- LangGraph
- Python
Benefits
Retirement Plans
- Company pension plan
Other Benefits
- Capital-building offers
Public Transport Subsidies
- Deutschlandticket
Company Bike
- Bicycle leasing
Free or Subsidized Food
- Company restaurant
Flexible Working
- Hybrid working
- Remote work possible
- Individualized work schedule models
Workation & Sabbatical
- Sabbatical
Additional Allowances
- Subsidization of nursing costs
- Personal budget for continuing education
- Personal budget for development
- Personal budget for mobile working space
Childcare
- Subsidization of childcare costs
Healthcare & Fitness
- Personal budget for health
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
ING DIBA
Industry
FinancialServices
Description
The company is a team of over 150 professionals specializing in corporate finance and M&A across various sectors.
Not a perfect match?
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