Senior AI Engineer - Agentic AI Platform

paiqo GmbH; Benhausen; Hybrid; EUR 70.000 - 90.000; Vollzeit

Zusammenfassung

A tech company specialized in AI development is seeking a Senior Agentic AI Engineer to drive innovation in agent architectures. You'll design advanced systems, mentor a team, and work closely with customers. The role requires 5+ years in AI/ML engineering, proficient Python skills, and fluency in German and English. Enjoy flexible working hours and a commitment to diversity in a dynamic environment.

Leistungen

Flexible working hours

Access to state-of-the-art tech stack

Budget for AI training and conferences

Promote diversity and inclusion

Leadership influence in technical strategies

Qualifikationen

• 5+ years of experience in AI/ML engineering, software architecture, or data-driven product development.
• Experience with generative and agentic systems.
• Ability to communicate complex issues to non-technical stakeholders.
• Fluent in German and very good in English.

Aufgaben

• Design and implement advanced agent architectures.
• Use Azure AI Foundry and Microsoft Agent Framework to orchestrate workflows.
• Develop monitoring and observability frameworks for agents.
• Enforce responsible AI principles including data protection and ethics.
• Mentor junior team members and participate in technical leadership.
• Work with customers to identify use cases and evaluate business benefits.

Kenntnisse

Python

RAG architectures

GraphRAG

multi-agent frameworks

DevOps/MLOps

Docker

Kubernetes

prompt engineering

communication with stakeholders

Tools

Azure AI Foundry

LangChain

Copilot Studio

Delta Lake

Fabric

Terraform

Bicep

Jobbeschreibung

Want to take AI from chatbots to autonomous agents?

We are pioneers in Agentic AI: our platforms combine powerful LLMs with multi-agent orchestration and responsible AI practices. As a Senior Agentic AI Engineer, you will implement complex architectures – from ReAct strategies and GraphRAG to tool use and reflection. You ensure that agents act reliably, securely, and transparently, thereby driving our customers' success.

Tasks & Responsibilities

• Design and implementation of advanced agent architectures: multi-agent systems with autonomous planning and reflection loops, GraphRAG, and tool orchestration.
• Use of Azure AI Foundry, Microsoft Agent Framework, and open-source libraries (LangChain, CrewAI) to orchestrate complex workflows; integration of enterprise data via RAG.
• Development of monitoring and observability frameworks for agents, including telemetry, logging, and performance evaluations.
• Developing and enforcing responsible AI principles: data protection, ethics, fairness, and security.
• Mentoring junior team members; technical leadership and reviews; participation in architecture roadmaps.
• Working closely with customers and management to identify use cases and evaluate business benefits.

What we offer you

• Flexible working: Trust-based working hours and remote/hybrid model, provided you are based in Germany.
• State-of-the-art tech stack: Access to Azure AI Foundry, Copilot Studio, LangChain & LangGraph and our data lakehouse (Delta Lake, Fabric).
• Investment in your future: Budget for AI training, certifications, and conference attendance; participation in research projects.
• Diversity & Purpose: We actively promote diversity, equality, and inclusion; our and socially relevant goals.
• Leadership influence: You will shape technical strategies, establish governance processes, and drive innovation in a rapidly growing team.

As a dynamic company, we encourage independent work, continuous learning, and a culture where everyone can contribute ideas. If you want to be at the forefront of Agentic AI development while experiencing a work environment that combines transparency, diversity, and well-being, we look forward to receiving your application!

Requirements

• At least 5 years of experience in AI/ML engineering, software architecture, or data-driven product development; extensive practice with generative and agentic systems.
• Very good knowledge of Python; experience with RAG architectures, vector databases, GraphRAG, prompt engineering, and multi-agent frameworks.
• Familiar with DevOps/MLOps methods and infrastructure-as-code (Terraform, Bicep) as well as containerization (Docker, Kubernetes).
• Ability to communicate complex issues in a way that is understandable to non-technical stakeholders.
• Fluent German and very good English (spoken and written).