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AI Engineer

InnoveusIT
Grand Prairie, TX Full Time
POSTED ON 7/31/2026 CLOSED ON 8/5/2026

What are the responsibilities and job description for the AI Engineer position at InnoveusIT?

About InnoveusIT, Inc. - a US-based IT consulting firm with a strong offshore delivery network team of 1,000 engineers across infrastructure, cloud, cybersecurity, DevOps, SAP, ERP, AI/ML, data engineering, and digital transformation.


Role: AI Engineer

Location: Grand-Prairie, Texas 75050

Work Model: Onsite (4 days a week work from office Mon - Thu)

Duration: Fulltime Employee with $3Bn IT company

Tentative start date – ASAP

Note: Relocation assistance will be provided .


USD $148,500 Gross ($135,000 Base salary 5% Organizational bonus 5% Performance Bonus) Benefits


As part of our commitment to our employees, Company provides a robust benefits package for full-time employees, which includes:

  • Medical Coverage, Dental and Vision (100% Nagarro contribution for the employee, 80% contribution for immediate dependents).
  • 15 days of Paid Time Off (PTO).
  • 10 paid holidays (including 8 fixed holidays and 2 floating holidays).
  • 401K enrollment with a 100% employee contribution (please note that we do not provide a matching contribution).


Must Have:

· AI Engineer with 5 years of experience required (No limit for a right candidate)

· LLM/AI: Hugging Face, LangChain, Open AI API.

· RAG pipelines: use Hugging Face, LangChain, and Open AI API to architect RAG pipelines and integrate generative AI into enterprise cloud environments.

· Strong communicator — able to translate complex model outputs into clear, actionable recommendations for operations and executive stakeholders.

· Python, R, SQL, LLM/AI: Hugging Face, LangChain, Open AI API, RAG pipelines.


Good to have skills:

· 2-4 years working in manufacturing domain.

· Experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP. Proficient in industrial protocols (OPC-UA, MQTT, Modbus) with 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.

Salary : $135,000

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