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

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)

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 , 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 , 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

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 Product Engineer - Workforce Management

We’re now looking for a Senior Product Engineer to join our growing Workforce Ma...

Location

United Kingdom; Ireland; Spain , London; Dublin

Salary:

Not provided

Nory

Expiration Date

Until further notice

Requirements

Full-Stack Technical Depth: Solid production-level capabilities in both frontend and backend
Systems Thinking & Design: You contribute to technical architecture, design scalable systems, and take a long-term view of platform evolution
Product & Customer Mindset: You seek to understand customer problems, shape solutions that drive value, and proactively improve the user experience
Ownership, Autonomy & Start-up Readiness: You act with urgency, thrive in ambiguity, and proactively unblock yourself and others to maintain momentum
Collaboration & Communication: You work effectively across functions, communicate with clarity, and support a remote-friendly, async culture
Learning Mindset: You embrace feedback, pursue growth, and contribute to a culture of continuous learning and improvement

Job Responsibility

Create sophisticated labour forecasting tools to predict staffing needs
Evolve our data model to support complex scheduling patterns, labour rules, and compliance requirements
Collaborate with our Data team on scheduling AI that balances business needs, employee preferences, and labour laws
Integrate with payroll and HR systems to create a seamless experience across the employee lifecycle
Build out our payroll product to help customers run payroll with higher accuracy and fewer manual steps
Support our US expansion by working closely with Product and Sales to unblock customer needs, ship the right capabilities for the market, and iterate quickly based on real customer feedback

What we offer

Remote-first working environment
Competitive salary depending on experience
Meaningful equity
35 days of paid leave per year (including bank holidays)
Comprehensive private health insurance via Irish Life (Ireland) and Axa (UK)
Enhanced parental leave and baby loss support
Learning & development culture – €1000 personal annual budget + quarterly book budget
€250 home office workspace budget
Regular team offsites & socials
Work from anywhere for up to 3 months of the year

Fulltime

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Senior Backend Engineer - Employee AI

Job Description

Job Responsibility

Requirements

What we offer

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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 Product Engineer - Workforce Management

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