Senior Backend Engineer - Employee AI Job at Staffbase (Leipzig)

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Dresden

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Proven experience integrating various AI/ML models into production backend systems
Practical experience with prompt engineering
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Leipzig

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Proven experience integrating various AI/ML models into production backend systems
Practical experience with prompt engineering
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Dresden

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Berlin

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Chemnitz

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Chemnitz

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Dresden

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

Senior Backend Engineer - Employee AI

Join our dedicated, fast-paced experimentation and innovation unit, where you'll...

Location

Germany , Leipzig

Salary:

Not provided

Staffbase

Expiration Date

Until further notice

Requirements

6+ years of professional experience in backend software development
Strong proficiency in Golang and preferably Java/Kotlin
Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes)
Experience building backend systems designed for complex agentic workflows or long-running conversational states
Familiarity with foundational LLM concepts such as retrieval-augmented generation (RAG)
Practical experience developing or managing MCP servers (Managing Conversational Protocols)
Familiarity with Agent-to-Agent (A2A) communication protocols and multi-agent system design
Experience with event-driven architecture and message queues (e.g. Kafka)

Job Responsibility

Design, develop, and maintain scalable and fault-tolerant backend services that power our AI applications
Apply advanced prompt engineering techniques to optimize model performance, manage context windows, and ensure reliable, high-quality responses
Implement model integration patterns to connect and orchestrate various external and internal services
Develop Agent-to-Agent (A2A) protocol communication strategies for complex multi-agent architectures
Implement systems for Managing Conversational Protocols (MCP servers) and Agent-to-Agent (A2A) protocol to handle and maintain long-running, stateful interactions
Define and implement observability standards for AI applications, including metrics for latency, cost, token usage, drift, and user-perceived quality
Implement logging, tracing, and monitoring tools to quickly diagnose and troubleshoot issues in the end-to-end AI pipeline
Collaborate with ML Scientists and Data Scientists to transition prototypes and models into production-ready, high-availability services
Ensure the security, reliability, and performance of all production systems
Participate in code reviews, architectural discussions, and technical strategy planning

What we offer

Competitive Compensation - we offer attractive salary packages including LTIP (Long Term Incentive Plan)
Flexibility - we offer flexible working time models and the option of hybrid work, and support this with a yearly flex work allowance of €1560
Recharge - with 31 vacation days annually (incl. one floating holiday), plus pro rata fully paid Fridays off during August
Wellbeing - Monthly Wellbeing Allowance €35, from fitness to mental health, hobbies to relaxation
Support - we’re offering a company pension scheme
Volunteers Day - you’ll get one day off per year for supporting a social project

Fulltime

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Senior Backend Engineer - Employee AI

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Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

Senior Backend Engineer - Employee AI

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