GenAI / AI-ML Engineer - On-Premises LLMs

BCforward
Newark, DE, United States
28 days ago
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Role details

Contract type
Contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$135,304
Working hours
Regular working hours
Job source

Tech stack

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
+9 more
Chatbots LangChain Retrieval-Augmented Generation Large Language Models Prompt Engineering Generative AI Hardware Infrastructure Streamlit Framework Natural Language Generation

Job 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.

Requirements

  • 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.

Benefits & conditions

  • Start month: November.
  • Interview process includes 1-2 rounds. Video is required and an in-person interview may be required. Glider-based ID verification will be conducted.
  • Max 3 submissions per vendor.

Why BCforward?

At BCforward, we believe in advancing lives and careers. When you join our team, you gain access to:

  • Competitive compensation and benefits.
  • Opportunities for growth with global clients.
  • A supportive, inclusive culture that values innovation and people.
  • Exposure to cutting-edge technologies and projects.

Additional Notes for Applicants

  • Please include your current location, relocation plan, availability or start date, and any cooling-off period on your resume.
  • Hours per day: 8. Labor type: Technical.

About the company

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.

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