Hiring.Camp

AI Engineer

Inabia Software & Consulting Inc.

·

Yesterday

Location
Grand-Prairie, Texas, TX
Workplace
Remote, Onsite
Type
Full-time
Department
Engineering
Experience
5+ years
Closing date
Today
Source
ApplyToJob

Description

Role: AI Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee

Numbers of Interview: 3 to 4

Mode of Interviews – Virtual

Tentative start date – ASAP

Note: Relocation assistance will be provided by Nagarro.


USD $148,500 Gross ($135,000 Base salary + 5% Organizational bonus + 5% Performance Bonus) + Benefits  (No bar for a right candidate - please negotiate best and submit.

As part of our commitment to our employees, Nagarro 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.

Skills

PythonSQLSCADAERPSix SigmaR

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