Senior AI Engineer

develop; Darmstadt; Vor Ort; EUR 120.000 - 160.000; Vollzeit

Zusammenfassung

develop seeks a Lead Agentic AI Engineer to architect and scale production-grade agentic AI features for a digital health platform, with a focus on pediatric care.

You will design agentic systems, ensure safety and compliance, drive engineering excellence, and lead collaborations with researchers, clinicians, and product teams while mentoring engineers.

Qualifikationen

• 5+ years in software or AI engineering with shipped production LLM or agentic systems.
• Master’s degree in Computer Science, AI, or a related technical field (PhD is a plus).
• Full professional fluency in English.

Aufgaben

• Design agentic systems: build robust AI agents and workflows for context-aware assistance and personalized care.
• Guarantee safety & compliance: implement guardrails, explainability, and human-in-the-loop controls for regulated environments.
• Drive engineering excellence: establish best practices for architecture, evaluation, monitoring, and observability.
• Lead collaboration: partner with researchers, clinicians, and product teams while mentoring engineers.

Kenntnisse

Python

LLM patterns

Workflow orchestration

Multimodal AI

Cloud-native architectures

Distributed systems

API design

Data privacy

Secure pipeline operations

Ausbildung

Master’s degree in Computer Science

Master’s degree in AI

PhD (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.