Bolt Technology
Staff Backend Engineer, AI Applications(m/w/x)
Full-timeWith HomeofficeExperienced
Berlin
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BOBolt Technology
Staff Machine Learning Engineer, AI Applications(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Scaling knowledge mining from diverse data sources for AI-powered support systems. Hands-on retrieval-augmented systems experience required. Stock options, wellness perks.
Requirements
- Hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI
- Understanding of drivers for high-quality grounded responses
- Experience in knowledge-heavy or policy-constrained domains
- Understanding of correctness, consistency, and trust in domains
- Experience building feedback loops for system improvements
- Ability to operate at strategic and hands-on levels
- Defining long-term direction
- Diving into data, experiments, and failure analysis
- Strong communication skills
- Strong stakeholder management skills
- Ability to align engineering, product, and operations
- Experience with LLM-based pipelines or agentic AI systems (strong plus)
- Experience in tool use, routing, memory, multi-step reasoning, or human-AI orchestration (strong plus)
- Drive, intelligence, and integrity
Tasks
- Align AI system behavior with business goals and customer experience standards
- Improve answer quality, consistency, and escalation behavior
- Build and scale knowledge mining capabilities from various data sources
- Transform conversations and support tickets into reusable knowledge assets
- Develop and maintain evaluation strategies for LLM-powered support systems
- Create offline benchmarks, golden datasets, and human review workflows
- Conduct online experimentation and track production quality metrics
- Establish feedback loops for continuous improvement of automation quality
- Integrate production failures and human corrections into model behavior
- Collaborate with engineers on AI application infrastructure
- Contribute ML expertise to tool-use quality, routing behavior, and memory quality
- Influence technical direction and roadmap across teams
- Clarify trade-offs in model behavior, retrieval quality, and business impact
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- retrieval-augmented systems
- LLM-based pipelines
- agentic AI systems
Benefits
Healthcare & Fitness
- Wellness perks
Competitive Pay
- Stock option package
Career Advancement
- Career opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bolt Technology 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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BOBolt Technology
Staff Machine Learning Engineer, AI Applications(m/w/x)
Berlin
Full-timeWith Home OfficeExperienced
AI/ML
Nejo AI Summary
Scaling knowledge mining from diverse data sources for AI-powered support systems. Hands-on retrieval-augmented systems experience required. Stock options, wellness perks.
Requirements
- Hands-on experience with retrieval-augmented systems, search, ranking, or knowledge-based AI
- Understanding of drivers for high-quality grounded responses
- Experience in knowledge-heavy or policy-constrained domains
- Understanding of correctness, consistency, and trust in domains
- Experience building feedback loops for system improvements
- Ability to operate at strategic and hands-on levels
- Defining long-term direction
- Diving into data, experiments, and failure analysis
- Strong communication skills
- Strong stakeholder management skills
- Ability to align engineering, product, and operations
- Experience with LLM-based pipelines or agentic AI systems (strong plus)
- Experience in tool use, routing, memory, multi-step reasoning, or human-AI orchestration (strong plus)
- Drive, intelligence, and integrity
Tasks
- Align AI system behavior with business goals and customer experience standards
- Improve answer quality, consistency, and escalation behavior
- Build and scale knowledge mining capabilities from various data sources
- Transform conversations and support tickets into reusable knowledge assets
- Develop and maintain evaluation strategies for LLM-powered support systems
- Create offline benchmarks, golden datasets, and human review workflows
- Conduct online experimentation and track production quality metrics
- Establish feedback loops for continuous improvement of automation quality
- Integrate production failures and human corrections into model behavior
- Collaborate with engineers on AI application infrastructure
- Contribute ML expertise to tool-use quality, routing behavior, and memory quality
- Influence technical direction and roadmap across teams
- Clarify trade-offs in model behavior, retrieval quality, and business impact
Work Experience
- approx. 1 - 4 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- retrieval-augmented systems
- LLM-based pipelines
- agentic AI systems
Benefits
Healthcare & Fitness
- Wellness perks
Competitive Pay
- Stock option package
Career Advancement
- Career opportunities
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Bolt Technology 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.
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Bolt Technology
Industry
IT
Description
The company is one of the fastest-growing tech companies in Europe and Africa, aiming to make cities for people, not cars.
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