Responsibilities
Design end-to-end agentic workflows to solve complex problems
Translate business needs into structured, scalable AI solutions
Build and compose reusable skills, tools, and agents
Choose the right approach for performance and maintainability
Integrate multiple LLMs, optimizing cost, speed, and quality
Improve performance via prompt design, token use, and inference efficiency
Define evaluations, metrics, and guardrails to ensure quality and reliability
Structure and validate data using typed schemas
Implement observability, logging, and debugging tools
Leverage AI assistants to accelerate development
Collaborate cross-functionally to deliver impactful AI solutions
Requirements
5+ years Python development with strong software engineering fundamentals
Hands‑on experience building production systems with Large Language Models
High ownership & proactive communication
Proven experience with LangGraph or similar agentic frameworks
Strong understanding of evaluation methodologies for LLM/agent quality
Proven ability to decompose complex, ambiguous business problems into scalable technical solutions
Comfort using AI assistants (e.g., Claude Code)
Familiarity with LLM observability tools
Background with vector databases and RAG patterns
Production experience with async Python patterns
Experience with Azure deployment and cloud‑native architectures
Knowledge of evaluation frameworks and metrics for AI output quality
#J-18808-Ljbffr
Design end-to-end agentic workflows to solve complex problems
Translate business needs into structured, scalable AI solutions
Build and compose reusable skills, tools, and agents
Choose the right approach for performance and maintainability
Integrate multiple LLMs, optimizing cost, speed, and quality
Improve performance via prompt design, token use, and inference efficiency
Define evaluations, metrics, and guardrails to ensure quality and reliability
Structure and validate data using typed schemas
Implement observability, logging, and debugging tools
Leverage AI assistants to accelerate development
Collaborate cross-functionally to deliver impactful AI solutions
Requirements
5+ years Python development with strong software engineering fundamentals
Hands‑on experience building production systems with Large Language Models
High ownership & proactive communication
Proven experience with LangGraph or similar agentic frameworks
Strong understanding of evaluation methodologies for LLM/agent quality
Proven ability to decompose complex, ambiguous business problems into scalable technical solutions
Comfort using AI assistants (e.g., Claude Code)
Familiarity with LLM observability tools
Background with vector databases and RAG patterns
Production experience with async Python patterns
Experience with Azure deployment and cloud‑native architectures
Knowledge of evaluation frameworks and metrics for AI output quality
#J-18808-Ljbffr
Senior AI Engineer – Agentic Workflows Arbeitgeber: Jobtailor
Als Global Director B2B – Business Development bei uns profitieren Sie von einer dynamischen und innovativen Arbeitsumgebung, die auf Zusammenarbeit und Kreativität setzt. Wir bieten Ihnen nicht nur attraktive Vergütungsmodelle und umfassende Weiterbildungsmöglichkeiten, sondern auch die Chance, in einem internationalen Team zu arbeiten, das Vielfalt und persönliche Entwicklung fördert. Unsere Unternehmenskultur legt großen Wert auf Flexibilität und Work-Life-Balance, sodass Sie Ihre Karriereziele in einem unterstützenden Umfeld erreichen können.
