Dein persönlicher KI-Karriere-Agent
Staff Backend Engineer, AI Applications(m/w/x)
Defining technical vision for conversational assistants, orchestrating memory and multi-channel consistency. Experience in fast customer-feedback cycles required. Stock option package, wellness perks.
Anforderungen
- Experience in fast customer-feedback cycles
- Empathy for the end-user
- Data-driven mindset
- Comfort with ML evaluation methodology
- Drive for leading initiatives to completion
- Strong system design skills
- Expertise in distributed systems
- Expertise in event-driven architectures
- Expertise in high-throughput data pipelines
- Hands-on experience with LLM-based pipelines
- Hands-on experience with agentic AI patterns
- Solid understanding of algorithms
- Solid understanding of data structures
- Drive
- Intelligence
- Integrity
Aufgaben
- Define technical vision for next-generation conversational assistants
- Set architecture and long-term direction across teams and partner orgs
- Drive adoption of scalable patterns for agentic AI systems
- Orchestrate memory, tool use, and multi-channel consistency
- Design and productionize GenAI-powered customer support systems
- Develop agent frameworks, tooling, guardrails, observability, and backend services
- Build reusable platform capabilities for reliable conversational experiences
- Identify ecosystem gaps and define integration patterns
- Lead cross-functional alignment and execution
- Influence roadmaps and drive consensus on platform direction
- Solve problems using cross-language engineering skills
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ML evaluation methodology
- LLM-based pipelines
- agentic AI patterns
Benefits
Attraktive Vergütung
- Rewarding salary
- Stock option package
Flexibles Arbeiten
- Hybrid work mode
Gesundheits- & Fitnessangebote
- Wellness perks
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Staff Backend Engineer, AI Applications(m/w/x)
Defining technical vision for conversational assistants, orchestrating memory and multi-channel consistency. Experience in fast customer-feedback cycles required. Stock option package, wellness perks.
Anforderungen
- Experience in fast customer-feedback cycles
- Empathy for the end-user
- Data-driven mindset
- Comfort with ML evaluation methodology
- Drive for leading initiatives to completion
- Strong system design skills
- Expertise in distributed systems
- Expertise in event-driven architectures
- Expertise in high-throughput data pipelines
- Hands-on experience with LLM-based pipelines
- Hands-on experience with agentic AI patterns
- Solid understanding of algorithms
- Solid understanding of data structures
- Drive
- Intelligence
- Integrity
Aufgaben
- Define technical vision for next-generation conversational assistants
- Set architecture and long-term direction across teams and partner orgs
- Drive adoption of scalable patterns for agentic AI systems
- Orchestrate memory, tool use, and multi-channel consistency
- Design and productionize GenAI-powered customer support systems
- Develop agent frameworks, tooling, guardrails, observability, and backend services
- Build reusable platform capabilities for reliable conversational experiences
- Identify ecosystem gaps and define integration patterns
- Lead cross-functional alignment and execution
- Influence roadmaps and drive consensus on platform direction
- Solve problems using cross-language engineering skills
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- ML evaluation methodology
- LLM-based pipelines
- agentic AI patterns
Benefits
Attraktive Vergütung
- Rewarding salary
- Stock option package
Flexibles Arbeiten
- Hybrid work mode
Gesundheits- & Fitnessangebote
- Wellness perks
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Bolt Technology
Branche
IT
Beschreibung
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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