Architect and build scalable Generative AI and agentic AI applications end to end
Design LLM-powered workflows and prompt strategies for reflexive, self-learning, multi-agent systems
Build intelligent AI agents using LangChain and LangGraph for NL-to-SQL, autonomous task agents, and RAG pipelines
Select, customize, fine-tune, and optimize state-of-the-art LLMs
Design and own full ML/GenAI pipelines, including training, deployment, monitoring, and lifecycle management
Build APIs, microservices, and integration frameworks to bring AI into enterprise products
Champion responsible AI practices by mitigating hallucinations, bias, and reliability risks
Partner directly with customers, product, and engineering to turn business needs into robust AI architecture
Mentor engineers and help shape the long-term AI platform strategy
Requirements
- 6+ years in traditional ML, including 2+ years hands-on with Generative AI
- Strong experience with LLMs (GPT and similar), prompt engineering, and agentic systems
- Real-world experience with LangChain/LangGraph or similar agentic frameworks
- Strong Python skills — API wrappers, third-party integrations, internal tooling
- Solid foundation in Transformers, CNNs, RNNs — hands-on with TensorFlow, PyTorch, Scikit-learn
- Experience with NLP, embedding models, and vector databases
- Hands-on work with OpenAI, Llama/Llama2, Azure OpenAI, and other open-source models
- Experience designing distributed, cloud-native architectures (microservices, REST APIs)
- Proficiency with AWS, Azure, or GCP, plus Docker/Kubernetes
- MLOps/LLMOps experience — training, deployment, monitoring, lifecycle management
- Excellent communication skills — translate technical depth for non-technical stakeholders
- Bachelor's or Master's in CS, Data Science, Engineering, Math, Statistics, or related field
- Comfort with startup pace and strong ownership mentality
- Preferred: LLM fine-tuning experience (LoRA, RLHF, PEFT)
- Preferred: Performance optimization (GPU/TPU acceleration, quantization, pruning, distillation)
- Preferred: AI observability/monitoring tool experience
- Preferred: Familiarity with AI governance and compliance (GDPR, SOC 2)
- Preferred: Prior consulting or solution-architecture experience shipping enterprise AI products
- Preferred: Background in financial services, healthcare, or insurance
Core Competencies
Demonstrates expertise in architecting and building scalable Generative AI applications, with a strong focus on LLMs, prompt engineering, and agentic systems. Proficient in designing and managing full ML/GenAI pipelines, while championing responsible AI practices and mentoring engineering teams.
Highest-signal resume keywords
- Generative AI Experience
- LLM Proficiency
- LangChain/LangGraph Expertise
- Python Programming Skills
- MLOps/LLMOps Knowledge
Hard Skills
- Generative AI
- LLMs
- Prompt Engineering
- LangChain
- LangGraph
- Python
- Transformers
- TensorFlow
- PyTorch
- NLP
Soft Skills
- Excellent Communication Skills
- Ownership Mentality
Certifications & Qualifications
- Bachelor's in CS
- Master's in Data Science
Industry Keywords
- AI Governance
- Compliance
- Financial Services
- Healthcare
- Insurance
Tools & Technologies
- AWS
- Azure
- GCP
- Docker
- Kubernetes
- OpenAI
- Llama
- API Development
- Microservices
- Vector Databases
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Senior Agentic AI Engineer Arbeitgeber: Jobtailor
Als Front Office Supervisor in unserem dynamischen Team bieten wir Ihnen die Möglichkeit, in einem unterstützenden und freundlichen Arbeitsumfeld zu wachsen. Wir legen großen Wert auf die berufliche Entwicklung unserer Mitarbeiter und bieten regelmäßige Schulungen sowie die Chance, Verantwortung zu übernehmen. Unsere Lage ermöglicht es Ihnen, Teil einer lebendigen Gemeinschaft zu sein, während Sie gleichzeitig die Standards unseres Franchise-Partners einhalten und unseren Gästen einen unvergesslichen Aufenthalt bieten.
