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GenAI/AI-ML Engineer - On-Premises LLMs

$135.3k
Full-time

BC Forward

Salary: $135,304 - 135,304 per year Requirements:

  • At least 3 years of hands-on experience in AI and GenAI engineering, including demonstrated production experience.
  • Strong Python programming skills and experience with LangChain, LangGraph, and Streamlit.
  • Experience with AI frameworks and applied data science.
  • Knowledge of natural language processing for text generation and chatbot development.
  • Skills in data preprocessing, feature engineering, embeddings, and vector databases.
  • Familiarity with natural language speech and search technologies such as SOLR and Lucene.
  • Preferred: Experience deploying and supporting on-premises LLM stacks and RAG pipelines.
  • Preferred: Background in Agile delivery and CI/CD for machine learning applications.
Responsibilities:
  • Design and implement generative AI solutions using LLMs on on-premises infrastructure.
  • Develop production-grade Python services and applications with frameworks such as LangChain, LangGraph, and Streamlit.
  • Create and refine prompts, retrieval pipelines, and chatbots for generating text and extracting insights.
  • Preprocess data and engineer features, including creating and managing embeddings and vector databases.
  • Work with stakeholders to turn requirements into scalable AI solutions.
  • Deploy, monitor, and optimize models and services in production environments.
Technologies:
  • AI
  • CI/CD
  • LLM
  • Machine Learning
  • Python
  • RAG
  • Solr
  • Support

More:

We are BCforward, a global IT consulting and workforce solutions firm serving Fortune 500 and government clients. Founded in 1998, we have grown into a full-service business solutions provider, with offices and delivery centers across North America and India. We are hiring a GenAI / AI-ML Engineer focused on on-premises LLMs to help build and operationalize generative AI solutions. This is a 12-month contract in Newark, Delaware, paying $65.05 per hour on W2, with an 8-hour workday and a hybrid schedule requiring at least three onsite days per week. The anticipated start month is November. Interviews will take place in one or two rounds by video, with an in-person interview potentially required; ID verification will be conducted through Glider. We offer competitive compensation and benefits, opportunities to grow through work with global clients, a supportive and inclusive culture, and exposure to advanced technologies and projects. We are an equal opportunity employer committed to diversity and inclusion. Applicants should include their current location, relocation plans, availability or start date, and any cooling-off period on their resume. Vendors may submit up to three candidates.

last updated 42 week of 2026

Vacancy posted 5 days ago
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