Associate Generative AI Engineer

Partners Consulting; Remote; USD 100,000 - 130,000; Full time

Job summary

An award-winning IT Consulting firm based in Philadelphia is seeking an Associate Generative AI Engineer. This role includes designing algorithms for generative models, integrating AI solutions into workflow systems, and optimizing performance. Candidates should have at least 2 years of experience in generative AI, with expertise in large language models and deep learning techniques. A Bachelor's degree is required, and experience in production environments is highly valued. The role supports innovation in the evolving field of artificial intelligence.

Qualifications

• At least 2 years experience in Generative AI implementation.
• Experience with LLMs like Claude, OpenAI GPT, or Gemini.
• Experience in production environments preferred.

Responsibilities

• Design and develop algorithms for generative models.
• Collaborate with teams to integrate generative AI solutions.
• Research advancements in generative AI technologies.

Skills

Generative AI implementation

Large language models (LLMs)

Deep learning

Data analysis

Python

Node.js

TypeScript

Education

Bachelor's degree or equivalent experience

Master's degree (preferred)

Tools

AWS Bedrock

Microsoft Access

Visual Basic

SQL Server

Job description

Title: Associate Generative AI Engineer

Location: Wayne, PA (remote)

Type: Contract

Overview

Our direct client is seeking an Associate Generative AI Engineer who will be responsible for the development of innovative AI solutions using generative AI tools, primarily large language models. Expertise in generative models, deep learning, and data analysis will be critical in creating intelligent and transformative AI applications. You will work closely with cross‑functional teams to conceptualize, design, test, and deploy AI projects that drive innovation and provide value in the rapidly evolving field of artificial intelligence. Projects range from document processing and AI chatbots for information retrieval and reasoning, to agentic solutions integrating internal tools for automation.

The role will require use of AI‑assisted programming tools like GitHub Copilot and Claude Code.

Key Accountabilities

• Design and develop algorithms for generative models using deep learning techniques.
• Collaborate with cross‑functional teams to integrate generative AI solutions into existing workflow systems.
• Research and stay up‑to‑date on the latest advancements in generative AI technologies and methodologies.
• Optimize and fine‑tune generative models for performance and efficiency.
• Troubleshoot and resolve issues related to generative AI models and implementations.
• Create and maintain documentation for generative AI models and their applications.
• Communicate complex technical concepts and findings to non‑technical stakeholders.
• Perform other duties as assigned or apparent.

Required Skills

• Bachelor’s degree or equivalent experience. Master’s degree is preferred.
• At least 2 years’ experience in Gen AI implementation, including experience with LLMs (Claude, OpenAI GPT, Gemini), AWS Bedrock, Python (primary language), Node.js / TypeScript (for backend), RAG (Retrieval Augmented Generation) framework, and VectorDB.
• Experience in production environments is highly valued over personal or small project work.
• Experience in the use of Microsoft Access (2003, 2007, 2010).
• 2+ years of related software development experience.
• A proven understanding of Visual Basic and SQL Server.
• 2 years spent in the delivery and maintenance of mission‑critical Access solutions.
• Background in finance or document‑heavy industries, is preferred, with strong alignment to responsible AI and governance practices.

Company

Partner's Consulting is an award‑winning IT Consulting and Recruiting firm based in the Philadelphia area. We’ve built personal relationships with our clients over many years and work directly with decision makers on all open positions. Our core values are focused on the highest level of professional dedication to our client’s requirements coupled with our desire to partner with highly qualified talent for joint success.

Board

R‑64