Participate in the development of enterprise-grade AI and Generative AI solutions.
Blend deep software engineering expertise with cutting-edge AI/Generative/Agentic capabilities.
Build scalable, secure, and high-performance systems that leverage LLMs, agentic workflows, and retrieval-augmented generation (RAG).
Collaborate across engineering, data science, and product teams to deliver innovative solutions that transform business operations and customer experiences.
Mentor junior engineers and contribute to reusable architectural patterns and best practices.
Requirements
Bachelor’s or Master’s degree in Computer Science, AI, or related field.
8+ years of software engineering experience, with at least 3 years in AI/Generative/Agentic systems.
Strong proficiency in Python and industry standard AI/ML frameworks (e.g., PyTorch, TensorFlow), LLM integration, and GenAI tooling.
Proven experience with cloud-native development, especially GCP and Vertex AI.
Familiarity with Kubernetes (GKE), Terraform, and CI/CD pipelines (GitHub Actions, Harness).
Strong understanding of microservice architectures and scalable system design.
Excellent debugging, testing, and problem-solving skills.
Effective communicator and proactive collaborator.
Familiarity with multi-agent ecosystems, GraphRAG architecture, knowledge graphs, context-aware retrieval systems for multi-hop reasoning, semantic enrichment
MCP (Model Context Protocol) and A2A
Benefits
25 days annual leave (plus 2 paid volunteer days & 1 paid un-sick day)
Holiday buy & sell (the option to buy or sell up to 5 additional days per year)
Flexible working - hybrid model
Employee Health Insurance
Mental Health Support program
Pension Contribution
Family Friendly Leave (Maternity, Paternity, Parental, Marriage and Bereavement)
Life Assurance
Educational Assistance Program
Life-Style Account (D&B will match your contributions up to €40 per month and can be used to claim for a range of health-related, leisure or lifestyle activities)
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