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Entegee, Inc.

Full Stack Forward Deployment AI Engineer

Career Insights for Natural Language Processing Engineer

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What they do

A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.

$120,222 / year median in Minnesota

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Job Description

Full Stack AI Engineer responsible for developing and scaling internal supply chain applications using React, Python, SQL, APIs, and large language models. Job Requirements Full stack application development experience. Experience developing AI-enabled applications. React experience required. Python experience required. SQL experience. Experience integrating OpenAI or other large language models into production applications. Experience with LLM scripting, prompt logic, or model orchestration. Experience developing both front-end and back-end application components. Experience connecting applications to APIs, data sources, and core enterprise systems. Experience with data manipulation and application data management. Experience converting business requirements into technical application designs. Experience building applications intended for long-term production use. Experience scaling internally developed applications. Bachelor's degree in Computer Science or a related technical field preferred. Preferred Skills Supply chain, sourcing, supplier management, or procurement experience. Experience developing applications for global supply chain organizations. Experience with raw material sourcing or procurement workflows. Experience evaluating LLMs based on knowledge coverage, performance, cost, and application requirements. Experience building internal tools for spend consolidation, sourcing, and process automation. Experience with UI/UX iteration based on stakeholder requirements. Experience in forward-deployed engineering or machine learning engineering roles. Job Responsibilities Develop full stack applications using React, Python, SQL, and related technologies. Build and maintain front-end interfaces, with significant development focused on React. Develop back-end services, application logic, APIs, and data integrations. Integrate OpenAI and other LLM technologies into internal applications. Evaluate AI models based on application fit, knowledge requirements, performance, and operating cost. Develop AI-enabled workflows for supply chain, sourcing, and procurement use cases. Build applications that simplify management and operational processes. Develop tools for spend consolidation, sourcing analysis, and cost reduction. Connect applications to enterprise systems, internal data sources, and external APIs. Manipulate and manage data used by supply chain applications. Translate stakeholder requirements into technical projects and application features. Implement UI and UX changes based on recurring stakeholder reviews. Develop new internal applications supporting global supply chain and sourcing operations. Scale successful applications for broader organizational use. Maintain production-oriented architecture while supporting rapid application development.
Pay:
55-70/hr Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria.
Disclaimer:
These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client.
Pay Details:
The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: The California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for
Employers San Francisco Fair Chance Ordinance Massachusetts Candidates Only:
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Benefits

  • Paid Time Off (PTO)
  • Sick Leave
  • 401(k) Plans
  • Health Insurance