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# GenAI / AI-ML Engineer - On-Premises LLMs

- **Company:** BCforward
- **Location:** Newark, DE, United States
- **Experience:** Experienced
- **Salary:** $135,304
- **Contract:** Contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Apache Lucene, Computer Programming, Continuous Integration, Data Cleansing, Python (Programming Language), Machine Learning, Natural Language Processing, Search Technologies, Apache Solr, Feature Engineering, Chatbots, LangChain, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Hardware Infrastructure, Streamlit Framework, Natural Language Generation
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/b75859dc-4be2-4f0f-a9e2-4fd30775b59f

## About the Role

* At least 3 years of hands-on AI and GenAI engineering experience.
 * Strong programming experience in Python with LangChain, LangGraph, and Streamlit.
 * Experience with AI frameworks and applied data science.
 * Knowledge of natural language processing for text generation and chatbot development.
 * Skilled in data preprocessing, feature engineering, embeddings, and vector databases.
 * Familiarity with Natural Language Speech/Search technologies such as SOLR and Lucene.

Preferred Skills:

 * Experience deploying and supporting on-prem LLM stacks and RAG pipelines.
 * Background in Agile delivery and CI/CD for ML applications., * Hybrid schedule with a minimum of 3 days per week onsite in Newark, DE.

## Description

We are seeking a GenAI / AI-ML Engineer - On-Premises LLMs to design, develop, and deploy Generative AI solutions using on-premises models and infrastructure. The role will leverage LLMs, prompt engineering, chatbots, and machine learning to create new content and insights. The candidate will collaborate with cross-functional teams to build and operationalize GenAI solutions. The hiring manager requires candidates with demonstrated production experience., * Design and implement GenAI solutions using LLMs on on-premises infrastructure.

 * Develop production-grade Python services and applications using frameworks such as LangChain, LangGraph, and Streamlit.
 * Build and refine prompts, retrieval pipelines, and chatbots for text generation and insight extraction.
 * Perform data preprocessing and feature engineering, including creation and management of embeddings and vector databases.
 * Collaborate with stakeholders to translate requirements into scalable AI solutions.
 * Deploy, monitor, and optimize models and services in production environments.