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Über
The Generative AI / NLP Engineer is responsible for designing, developing, and deploying AI-powered applications using
deep learning, Natural Language Processing (NLP), and Large Language Models (LLMs) . The role involves building scalable GenAI solutions, implementing prompt engineering techniques, and integrating vector databases for AI-driven data retrieval. The engineer will develop Python-based machine learning solutions, orchestrate LLM workflows using frameworks like LangChain, and deploy AI applications on cloud platforms such as Azure or GCP.
Key Responsibilities Design and develop
Generative AI and NLP solutions using deep learning techniques . Build, fine-tune, and deploy
LLM-based applications using Python . Implement
prompt engineering strategies and vector database integrations
for AI-powered data retrieval. Develop deep learning models for
text classification, sentiment analysis, summarization, and other NLP tasks . Build rapid AI applications using
Streamlit, FastAPI, and Flask frameworks . Implement
LLM orchestration using frameworks such as LangChain or similar tools . Deploy and scale
machine learning models on cloud platforms such as Azure or Google Cloud Platform (GCP) . Design and implement
agentic AI architectures and multi-agent systems
using frameworks like AutoGen or similar tools. Collaborate with cross-functional teams to design
scalable, production-ready AI solutions . Ensure AI models are optimized for
performance, scalability, and reliability . Required Skills & Experience
6+ years of experience in
software development, data science, or data analytics . Minimum
2 years of hands-on experience in Generative AI, NLP, and deep learning models . Strong expertise in
Python programming for AI/ML development . Hands-on experience with
TensorFlow, PyTorch, and Hugging Face Transformers . Strong understanding of
Large Language Models (LLMs) and real-world applications . Experience implementing
prompt engineering techniques for GenAI solutions . Experience working with
vector databases for AI-driven data storage and retrieval . Familiarity with
LLM orchestration frameworks such as LangChain . Experience deploying AI/ML solutions on
Azure or Google Cloud Platform (GCP) . Competencies
Strong
analytical and problem-solving skills . Ability to design
scalable AI architectures and production-ready ML systems . Strong
collaboration and communication skills
to work with cross-functional teams. Ability to adapt to
rapidly evolving AI technologies and frameworks . Preferred Skills
Experience with
agentic AI architectures and multi-agent frameworks
(AutoGen or similar). Knowledge or experience in the
healthcare domain . Experience with
AI-powered enterprise applications and scalable ML pipelines .
Sprachkenntnisse
- English
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