AI Engineer

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™

• 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.
• 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
• Employee support and voluntary benefits, including an Employee Assistance Program and optional coverage such as disability, legal, identity theft, and insurance programs