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Join our dedicated, fast-paced experimentation and innovation unit, where you'll leverage cutting-edge AI and LLM technologies. This is an exciting opportunity to develop solutions that genuinely empower communicators and support frontline workers, driving strategic impact and exploring the full potential of new technologies.
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
Mentor junior engineers and champion best practices in backend development and MLOps
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)
Nice to have:
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)
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
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