Norfolk Southern is looking to solve complex business problems using Generative AI technologies, including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP) servers to drive business value.
Requirements
- Hands-on background in Generative AI, including prompt engineering, fine-tuning large language models (LLMs), and deploying these solutions.
- Proficiency in Python, including libraries such as Scikit-learn, PyTorch, Pandas, NumPy, spaCy, NLTK, and Matplotlib.
- Skilled in SQL, No SQL, and vector databases.
- Knowledge of Agentic LLMs and orchestration frameworks such as LangGraph or workflows like AutoGPT.
- Experience with cloud platforms, preferably AWS (ECS, S3, Lambda, Bedrock, OpenSearch) Databricks.
- DevOps expertise: Docker, Kubernetes, CI/CD, Git, Terraform.
- NLP and AI/ML Frameworks: Experience with training NLP models from scratch, working with Large Language Models, and using libraries such as spaCy, NLTK, and Transformers.
Responsibilities
- Design, develop, and deploy Generative AI solutions tailored to business use cases.
- Develop and prototype solutions utilizing advanced LLM frameworks including LangChain, LlamaIndex, LangGraph, and related technologies.
- Develop advanced prompts and design autonomous LLM applications that can operate tools and access APIs on their own.
- Develop and optimize RAG pipelines and LLM integrations.
- Experiment with Small Language Models and emerging GenAI techniques.
- Integrate AI solutions with authentication systems and enterprise infrastructure.
- Maintain and enhance the GenAI platform, including backend APIs and chat applications.
Other
- Bachelors in Computer Science, Data Science, Machine Learning, AI, Linguistics, or related field.
- 2-4 years of experience in Data Science, Machine Learning, NLP or AI positions.
- Advanced degree, e.g., Ph.D. or M.S. in Computer Science, Data Science, Machine Learning, AI, Linguistics, or related field.
- Hybrid 3 days on-site and remote work 2 days per week.
- Equal employment opportunities are available to all applicants regardless of race, color, religion, age, sex, national origin, disability status, genetic information, veteran status, sexual orientation, and gender identity.
