We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work on a scale across all devices and digital mediums, and our people exist everywhere in the world (18000 plus experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!
Job DescriptionRole: AI Engineer
Location: Grand-Prairie, Texas 75050
Work Model: Onsite (4 days a week work from office Mon - Thu)
Duration: Fulltime Employee
Job Overview:
- AI Engineer with 6-9 years of experience required along with 2-4 years working in manufacturing domain(Optional).
- Hands-on 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.
- 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.
Must have:
AI Engineer with 6-9 years of experience.
Hands-on experience in shop floor operations, production planning, and systems including MES, SCADA, and ERP.
Disclaimer: Nagarro is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will be afforded equal employment opportunities without discrimination based on race, creed, color, national origin, sex, age, disability, or marital status.
Skills Required
- 6-9 years of experience in AI engineering
- 2-4 years working in manufacturing domain
- Hands-on experience in shop floor operations and production planning
- Experience with MES, SCADA, and ERP systems
- Familiarity with industrial protocols: OPC-UA, MQTT, Modbus
- Applied experience with OEE, Six Sigma, SPC, and lean methodologies
- Experience building LLM/AI solutions: Hugging Face, LangChain, OpenAI API
- Experience architecting RAG pipelines and integrating generative AI into enterprise cloud environments
- Proficiency in Python, R, and SQL
- Strong communication skills to present model outputs to operations and executives
- Ability to bridge OT/IT systems for real-time data extraction
Nagarro Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.
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Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
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Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
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Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).
Nagarro Insights
What We Do
Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.
