AI Engineer

Build enterprise-ready AI solutions in Grand Prairie, Texas with an onsite schedule and a focus on LLM and RAG pipeline engineering.

Responsibilities

• Architect RAG pipelines and integrate generative AI into enterprise cloud environments
• Use Hugging Face, LangChain, and the OpenAI API to implement RAG pipeline components
• Convert complex model outputs into clear, actionable recommendations for operations teams and executive stakeholders

Requirements

• AI Engineer with 5+ years of experience (no limit for a right candidate)
• Hands-on LLM/AI experience with Hugging Face, LangChain, and the OpenAI API
• Experience architecting RAG pipelines using Hugging Face, LangChain, and the OpenAI API
• Strong communication skills to translate complex model outputs into actionable recommendations for operations and executives
• Proficiency with Python, R, and SQL, plus LLM/RAG pipeline development using Hugging Face, LangChain, and the OpenAI API

Technologies

• Python
• R
• SQL
• Hugging Face
• LangChain
• OpenAI API
• RAG pipelines

Location and Work Model

• Grand Prairie, TX 75050
• Onsite work model: 4 days a week (Mon–Thu)

Compensation

• USD 135,000 - 148,500 per year
• Listed structure: USD $148,500 Gross ($135,000 base + 5% organizational bonus + 5% performance bonus)
• Benefits included; salary negotiation allowed for a right candidate

Benefits

• Medical coverage, dental and vision
• 100% Nagarro contribution for the employee
• 80% Nagarro contribution for immediate dependents
• 15 days of Paid Time Off (PTO)
• 10 paid holidays (8 fixed holidays and 2 floating holidays)
• 401K enrollment with 100% employee contribution (no matching contribution)

Good to Have Skills

• 2–4 years working in the manufacturing domain
• Experience with shop floor operations, production planning, and systems including MES, SCADA, and ERP
• Proficiency in industrial protocols: OPC-UA, MQTT, Modbus
• Ability to bridge OT/IT systems for real-time data extraction
• Applied experience with OEE, Six Sigma, SPC, and lean methodologies to drive measurable gains in yield, uptime, and efficiency

Interview Details and Start Date

• 3 to 4 interviews
• Mode of interviews: Virtual
• Tentative start date: ASAP

Additional Notes

• Relocation assistance will be provided by Nagarro
• Full-time employee role
• Location reference: Grand-Prairie, Texas