NTT DATA is hiring a Generative AI Engineer to drive the development and optimization of generative AI applications. In this role, you will focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering, analyzing data and collaborating across teams to implement effective AI solutions.
What You'll Do
- Drive the development and optimization of generative AI applications with a focus on model evaluation, retrieval-augmented generation (RAG), and prompt engineering.
- Analyze and integrate data from various sources, ensuring high quality and preparing it for AI-driven solutions.
- Experiment with LLM models to improve performance and applicability across different business use cases.
- Collaborate with the AI platform team to enhance and scale AI-driven capabilities.
- Work closely with different business units to help them leverage AI models for real-world applications and improvements.
- Share expertise in GenAI and machine learning with other teams to foster knowledge-sharing and innovation.
What We're Looking For
- A university degree in Computer Science, Engineering, or a related field.
- Minimum of 1-3 years of experience as a Python Developer.
- Experience using LLM APIs such as OpenAI and Anthropic.
- Practical experience with prompt engineering.
- Experience with RAG and vector databases (embeddings).
- Knowledge of data ingestion and preprocessing for LLM applications.
- Experience with software development best practices like clean code, unit testing, and CI/CD.
- Familiarity with MLOps and best practices for deploying and maintaining AI models in production.
- Experience with data pipelines and preprocessing techniques.
- Strong problem-solving skills and the ability to work in a collaborative, agile environment.
- Excellent English communication skills, both written and spoken.
Technical Stack
- Python
- LLM APIs (OpenAI, Anthropic)
- Vector databases
Team & Environment
You will collaborate closely with the AI platform team and different business units.
