Senior Agentic AI Engineer

develop; Darmstadt; Vor Ort; EUR 90.000 - 130.000; Vollzeit

Zusammenfassung

develop is seeking a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for a digital health platform focused on pediatric care. You will turn advanced AI concepts into safe, reliable, and clinically meaningful functionality.

Responsibilities include designing agentic systems, ensuring safety and compliance with guardrails, and leading engineering excellence while mentoring a team of engineers and collaborating with researchers and clinicians.

Qualifikationen

• 5+ years in software or AI engineering with production LLM/agentic systems experience.
• Master's degree in CS/AI; PhD is a plus.
• Full professional fluency in English.

Aufgaben

• Design agentic systems for context-aware assistance, workflows, and personalized care.
• Implement guardrails, explainability, and human-in-the-loop controls for safety and compliance.
• Establish best practices for system architecture, evaluation, monitoring, and observability.

Kenntnisse

Python

LLM patterns

Workflow orchestration

Multimodal AI

Cloud-native architectures

Distributed systems

API design

Data privacy

Secure pipelines

English (full professional fluency)

Ausbildung

Master's degree in Computer Science/AI or related field

PhD is a plus

Jobbeschreibung

My client is looking for a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for their digital health platform. You will turn advanced AI concepts into safe, reliable, and clinically meaningful functionality for pediatric care.

Key Responsibilities

• Design Agentic Systems: Build robust AI agents and workflows for context-aware assistance, workflow orchestration, and personalized care.
• Guarantee Safety & Compliance: Implement rigorous guardrails, explainability frameworks, and human-in-the-loop controls for regulated environments.
• Drive Engineering Excellence: Establish best practices for system architecture, evaluation, monitoring, and observability.
• Lead Collaboration: Partner with researchers, clinicians, and product teams while mentoring engineers.

Qualifications

• Experience: 5+ years in software or AI engineering, with proven experience shipping production LLM or agentic systems.
• Tech Stack: Strong expertise in Python, LLM patterns, workflow orchestration, multimodal AI, and cloud-native architectures.
• Core Skills: Deep understanding of distributed systems, API design, data privacy, and secure pipeline operations.
• Education: Master’s degree in Computer Science, AI, or a related technical field (PhD is a plus).
• Languages: Full professional fluency in English.