AI Engineer

The AI Engineer designs and builds intelligent applications powered by Large Language Models (LLMs), AI agents, and enterprise knowledge systems. You’ll work closely with engineers, manufacturing professionals, procurement teams, and business stakeholders to develop AI solutions that improve productivity, automate workflows, unlock insights from technical data, and solve real-world business challenges. This is an opportunity to apply cutting-edge AI technologies in a complex engineering and manufacturing environment where your work will have a direct impact on operations, decision-making, and digital transformation initiatives.

Location: Camden, NJ (On‑site)

Primary Responsibilities:

• Design, develop, and deploy Generative AI solutions using modern LLMs and enterprise AI platforms.
• Build AI-powered copilots, assistants, and agents that help employees find information, automate tasks, and make better decisions.
• Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging engineering documents, technical specifications, manufacturing procedures, quality records, and enterprise knowledge repositories.
• Create AI workflows that integrate with business applications, databases, APIs, and enterprise systems.
• Develop and maintain Model Context Protocol (MCP) servers and integrations that allow AI assistants to securely interact with custom applications, enterprise systems, and business workflows.
• Build custom tools and agent-based solutions that can retrieve data, perform actions, and automate business processes across multiple platforms.
• Deploy, monitor, and optimize production-grade AI applications with a focus on reliability, scalability, security, and performance.
• Partner with engineering, manufacturing, procurement, quality, and IT teams to identify high-value AI use cases and deliver practical solutions.
• Train, fine-tune, evaluate, and optimize AI models to improve accuracy, user experience, and business outcomes.
• Establish evaluation, monitoring, and governance processes to continuously improve AI system quality and trustworthiness.
• Stay current with emerging AI technologies and identify opportunities to apply them across the organization.

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related field.
• 3-5 years of software engineering experience with at least 2+ years focused on Generative AI, machine learning, or LLM-based applications.
• Experience building and deploying enterprise AI, Generative AI, LLM, and RAG applications in production environments.
• Knowledge of modern AI engineering practices, including MLOps, CI/CD, model monitoring, evaluation, and lifecycle management.
• Strong understanding of AI security, governance, data privacy, and responsible AI principles.
• Experience with agent frameworks such as LangChain, Semantic Kernel, LangGraph, AutoGen, Microsoft Copilot Studio, CrewAI, or similar technologies.
• Experience integrating AI solutions with enterprise systems and business processes.
• Familiarity with document intelligence, knowledge management, computer vision, OCR, or multimodal AI solutions.
• Experience within engineering, manufacturing, energy, nuclear, aerospace, defense, or other regulated industries is preferred.

A Generation Ahead by Design™
Investing in people who power the future.

We believe great work deserves great rewards. Our benefits go beyond the basics, reflecting our commitment to supporting your whole self…your health, your future, and your career growth. This includes:

Compensation:

• Annual compensation based on skills and experience ranging from $120,000 to $140,000.

Benefits:

• Industry‑leading medical, dental, and vision coverage with a generous employer premium contribution and Day 1 eligibility!
• FLEX Program – Hybrid work opportunities available for eligible roles, where business needs and role requirements allow
• 401(k) retirement plan with up to a 5% company match and immediate vesting to support long‑term financial security
• Paid time off and 11 paid holidays to support rest, balance, and recharge
• Wellness program offering rewards for participation in company‑supported health initiatives
• Commuter benefits supporting mass transit and commuter parking options
• Company‑paid life and AD&D insurance for added peace of mind
• Education assistance to support continued education and professional growth
• …