VT Netzwelt - Artificial Intelligence Engineer - NLP/LLM
Posted on: 24/07/2025
Job Description
Role Summary :
We are seeking a highly skilled and hands-on AI/ML Engineer with 1+ years of experience in design, development, and deployment of cutting-edge generative AI solutions integrated with robust data engineering practices.
The ideal candidate will work across our AI initiatives, including NLP, deep learning, and end-to-end ML/data pipelines.
Key Responsibilities :
AI/ML Architecture & Development :
- Implement and deploy machine learning models in production environments.
- Work with generative AI models and NLP techniques (e.g., OpenAI, Claude APIs).
- Apply prompt engineering and retrieval-augmented generation (RAG) techniques.
- Build end-to-end ML workflows from data preprocessing to model evaluation.
- Contribute to the development of conversational AI solutions.
Software Engineering & Data Pipeline Development
- Design, build, and maintain data pipelines and end-to-end ML workflows.
- Build and deploy web services that integrate ML models.
- Implement APIs using frameworks like FastAPI or Flask.
- Work with databases (preferably MySql) and data processing tools.
- Ensure code quality, performance, and security in all implementations.
Deployment & Integration :
- Build production-grade ML models and APIs and deploy them on cloud platforms with the help of DevOps team.
- Ability to Monitor, analyze, and optimize the performance of deployed models and data workflows with the help of Devops team.
Collaboration :
- Work closely with cross-functional teams including data scientists and software engineers.
- Contribute to a culture of learning and innovation.
- Adapt to challenges even when requirements are ambiguous
Technical Requirements :
Programming & Frameworks :
- Strong proficiency in Python with hands-on experience in TensorFlow, PyTorch, Keras, and related ML libraries/Ecosystem.
- Experience with data science tools (pandas, NumPy, matplotlib, scikit-learn).
Generative AI Expertise :
- Knowledge of generative AI models and frameworks, including OpenAI APIs, LangChain, LangGraph, Hugging Face Transformers, and related technologies.
- Experience in fine-tuning large language models (LLMs) and implementing RAG systems leveraging vector databases like Pinecone or similar.
- Experience in developing multi-agent Retrieval-Augmented Generation (RAG) applications, integrating automated workflows to streamline data retrieval, processing, and response generation.
API Development :
- Experience in developing and deploying APIs using frameworks like FastAPI or Flask.
Qualifications :
- Bachelors degree in Computer Science, Engineering or related field.
- 3 years of hands-on experience in AI/ML engineering, with expertise in generative AI and data engineering.
- Excellent problem-solving, analytical, and communication skills.
- Ability to work independently in a fast-paced, dynamic environment while effectively collaborating with cross-functional teams.
Did you find something suspicious?
Posted By
74
Posted in
AI/ML
Functional Area
ML / DL Engineering
Job Code
1518621
