Location: Camden, NJ | Work Mode: Full-time (On-site / Eligible for FLEX Hybrid) | Salary: $120,000 – $140,000 | Requisition ID: 1405
Division Overview
Holtec International’s Nuclear Consultants International division is an industry leader in engineering, manufacturing, and energy innovation. Driven by our philosophy, “A Generation Ahead by Design™,” we are undergoing a massive digital transformation. We apply cutting-edge technology to solve real-world engineering, manufacturing, and procurement challenges within heavily regulated energy environments.
Role Summary:
We are seeking a product-minded AI Engineer to design and build intelligent applications powered by Large Language Models (LLMs), AI agents, and enterprise knowledge systems. In this role, you will collaborate with cross-functional engineering and operations teams to deploy production-grade GenAI systems that automate complex workflows and unlock mission-critical insights from technical data.
Key Responsibilities:
- Design, develop, and deploy enterprise Generative AI and RAG solutions leveraging complex engineering documents, technical specs, and quality records.
- Build AI-powered copilots, automated assistants, and custom agent-based workflows.
- Develop and maintain Model Context Protocol (MCP) servers to securely integrate AI assistants with custom enterprise applications and databases.
- Train, fine-tune, evaluate, and optimize AI models to improve system accuracy and trustworthiness.
- Establish robust AI evaluation, monitoring, governance, and data privacy frameworks in production.
- Partner with manufacturing, quality, IT, and procurement teams to map out high-value AI use cases.
Qualifications & Requirements:
- Experience: 3-5 years of software engineering experience, with at least 2+ years explicitly focused on Generative AI, LLMs, or RAG architectures in production.
- Frameworks: Hands-on experience with agentic frameworks like LangChain, LangGraph, Semantic Kernel, AutoGen, or CrewAI.
- Core Knowledge: Strong understanding of MLOps, CI/CD, document intelligence (multimodal/OCR), and responsible AI practices.
- Education: Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, or a related engineering field.
- Industry Preference: Prior experience in regulated industries (Nuclear, Energy, Aerospace, Defense, or Manufacturing) is highly desired.
Job details made easy by trendtoday360
Position: Enterprise GenAI & MCP Integration Engineer
Core Frameworks: Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), Agentic Workflows
Perks: Day 1 Medical Benefits, 5% 401(k) Match with Immediate Vesting, FLEX Program Availability
✅ Job Summary and Focus:
This position at Holtec is for an Enterprise AI Orchestrator. Because the nuclear and energy sectors depend on absolute regulatory precision, the primary engineering focus is on Deterministic AI Outputs and Data Privacy. You aren’t just building chat interfaces; you are architecting secure MCP Servers that act as the secure bridge between frontier LLMs and highly sensitive proprietary technical databases. You will be tasked with solving the **Domain-Specific RAG Challenge**—ensuring AI agents extract flawless, contextually accurate data from heavy manufacturing procedures and quality records without hallucination.
[Image structure recommendation: An enterprise AI ecosystem showing Document Repositories, MCP Secure Gateway, LLM/Agentic Orchestration Layer, and internal End-User Copilots]
📌 Key ATS Resume Keywords:
AI Engineer, Holtec International, Generative AI, Large Language Models, LLM, Retrieval-Augmented Generation, RAG, Model Context Protocol, MCP Server, LangChain, LangGraph, Agentic Workflows, MLOps, Document Intelligence, Nuclear Engineering, Camden NJ Jobs.
💰 Compensation and Industry Demographics:
Holtec offers a competitive annual compensation ranging from $120,000 to $140,000, featuring **Day 1 premium health coverage** and immediate 401(k) vesting.
In the context of the U.S. AI Engineering and Regulated Industry Tech workforce for 2025-2026:
- The “MCP” Specialization: In 2026, proficiency in **Model Context Protocol (MCP)** has emerged as a top-tier differentiator. Infrastructure engineers capable of building standard compliance layers between LLMs and local development environments are seeing a 15% increase in marketplace demand.
- Racial Representation in U.S. AI & Software Engineering: Based on 2025 labor demographics for specialized enterprise systems developers:
- White: 50.8%
- Asian: 34.6%
- Hispanic or Latino: 7.0%
- Black or African American: 5.2%
- Other/Multiracial: 2.4%
- Gender in Heavy Tech Sectors: Women represent approximately **18%** of core engineering and AI systems development roles within the energy and aerospace domains. Holtec’s emphasis on educational assistance and voluntary support systems aims to foster an inclusive pipeline for technical growth.
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