Senior GenAI Engineer: Production-Grade AI & Agentic Systems

AgentixLake GmbH; United Arab Emirates; Hybrid; AED 300,000 - 540,000; Full time

Job summary

AgentixLake GmbH in Hamburg specializes in design, build, and operation of data platforms and AI systems for enterprise clients. You will own the software, evaluations and controls behind generative AI systems that integrate with customer data, tools and business processes.

Responsibilities include building AI-native apps, enterprise RAG, AI agents and private deployments, with a focus on reliability, governance and performance.

Qualifications

• Production software and LLM applications delivered with ownership of architecture, deployment and operations.
• Strong Python, API design, testing and debugging; practical experience with containers, Git and CI/CD.
• Experience with self-hosted models, GPU infrastructure, vector search or agent frameworks is valuable.

Responsibilities

• Design and implement Python services connecting LLMs to enterprise APIs, data sources, and tools.
• Build retrieval-augmented generation systems including document ingestion, indexing, retrieval and source attribution.
• Engineer agentic workflows with permissions, state handling, retries, audit trails and approval gates.
• Develop document intelligence pipelines with validated outputs for downstream ERP workflows.
• Create evaluation datasets and release criteria; measure answer quality, failure modes, latency and cost.
• Deploy and operate AI applications in customer-controlled cloud or private environments with monitoring and handover docs.

Skills

Python

API design

CI/CD

Containers

RAG

Model evaluation

English communication

Tools

Git

Docker

Kubernetes

CI/CD pipelines

Job description

AgentixLake GmbH in Hamburg specializes in design, build, and operation of data platforms and AI systems for enterprise clients. You will own the software, evaluations and controls behind generative AI systems that integrate with customer data, tools and business processes.

Responsibilities include building AI-native apps, enterprise RAG, AI agents and private deployments, with a focus on reliability, governance and performance.