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HomeCompaniesNagarro1Staff Engineer - AI Engineer

Staff Engineer - AI Engineer

Nagarro1 · Remote, REMOTE, United States · Remote · Active · SmartRecruiters

Job facts

FieldValue
CompanyNagarro1
TitleStaff Engineer - AI Engineer
Normalized title-
Department / teamEngineering
LocationREMOTE, United States
Work modelRemote / Remote
Employment typeFull Time
Salary-
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-04-01 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Nagarro1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
Department jobsActive postings in Engineering.Open
Work model jobsActive Remote postings.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyNagarro1
Source5aec7117-df25-4106-b018-e02963ef5667
ATS providerSmartRecruiters

Description

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 (17000 plus experts across 39 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! Role: AI Engineer Location: Remote, USA Duration: 6 Months Contract with possible extension Job Overview: AI Engineer with 6-9 years of experience required along with (Optional) 2-4 years working in manufacturing domain.  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.

Full job record

Job IDf8bb4cd73b4aed347499bab6b3fbf052ff38c60e
Org IDac0969e6-c311-4edb-865e-58f5563bc51d
Source ID5aec7117-df25-4106-b018-e02963ef5667
Board ID5aec7117-df25-4106-b018-e02963ef5667
Providersmartrecruiters
Provider Job Key744000118247627
TitleStaff Engineer - AI Engineer
Normalized Title
Statusactive
Activeyes
Location TextRemote, REMOTE, United States
DepartmentEngineering
Team
Employment Typefull_time
Workplace Typeremote
Remote Policyremote
CountryUnited States
RegionREMOTE
City
Salary RawWe 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 (17000 plus experts across 39 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! Role: AI Engineer Location: Remote, USA Duration: 6 Months Contract with possible extension Job Overview: AI Engineer with 6-9 years of experience required along with (Optional) 2-4 years working in manufacturing domain.  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.
Salary Min
Salary Max
Salary Currency
Salary Period
Source URLhttps://jobs.smartrecruiters.com/Nagarro1/744000118247627-staff-engineer-ai-engineer
Apply URLhttps://jobs.smartrecruiters.com/Nagarro1/744000118247627-staff-engineer-ai-engineer?oga=true
First Seen At2026-05-31 17:40:32Z
Last Seen At2026-06-06 20:26:20Z
Last Checked At2026-06-06 20:26:20Z
Last Changed At2026-05-31 17:40:32Z
Inactive At
Source Posted At2026-04-01 19:55:51Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=nagarro1/date=2026-06-06/2026-06-06T20-25-56-358Z-8895f400d6c48c8a40fc4ccea045da75e05964bc4fd9de1be67debc30fc62178.json
Event Fields
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Parsed Structured
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Extensions
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Native Structured
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