AI Implementation Engineer
MAGNETO & DIESEL INJECTOR SERVICE INC, Humble, TX, United States
Job Description
Job Description
For the past
80+
years, **M &D **has led the aftermarket in remanufacturing innovation to address technological advancements and changing customer needs. In the past few decades, we have expanded beyond our remanufacturing roots to develop close (and sometimes exclusive) partnerships with the world’s leading OEMs and manufacturers.
Those partnerships with key suppliers like Bosch, Garrett, Federal Mogul, Cummins, Stanadyne, Holset, BorgWarner, Delphi, Yanmar, Mitsubishi, Denso and others have been critical in honing our remanufacturing capabilities and expanding our parts offering to include new, no core options in fuel injectors and fuel pumps, diesel engine cylinder heads, blocks, crankshafts and connecting rods.
M &D
also stocks a complete assortment of turbos (new and remanufactured), inframe overhaul kits, filtration and aftertreatment parts including DPFs, DOCs, EGRs, sensors and other engine parts.
Our strong remanufacturing roots combined with our 41+ branch locations, a nationwide outside sales team of 25 and our close OEM & Manufacturer partnerships make us unique in the industry – no one understands diesel engine failure analysis and parts better than
M &D .
WE FUEL UPTIME .
Position Summary
The AI Implementation Engineer is responsible for taking AI-powered prototypes and transforming them into production-ready, scalable, and maintainable systems deployed across M&D. This role focuses on hardening, deploying, and scaling AI applications that drive measurable business value across pricing, sales, ecommerce, and marketing functions.
Essential Duties and Responsibilities:
Refactor and productionize existing AI prototypes built in Python into reliable, scalable applications
Design and implement production-ready architectures with proper structure, logging, error handling, and testing
Deploy and manage AI applications in cloud environments (AWS), including EC2-based systems
Build and maintain APIs and services to support internal tools such as pricing intelligence systems, parts lookup tools, and analytics platforms
Develop and manage data pipelines (scrape → clean → normalize → store → serve) across multiple data sources
Integrate AI systems with internal platforms (e.g., ERP, ecommerce systems) and third-party APIs
Implement and optimize web scraping solutions at scale, including rate limiting, proxy management, and data normalization
Build and maintain AI-powered features using LLM APIs (e.g., OpenAI, Claude), including prompt engineering and structured outputs
Implement retrieval-augmented generation (RAG) and other AI patterns for business applications
Ensure security, reliability, and maintainability of deployed systems (IAM, environment variables, access control)
Document systems, workflows, and code to support long-term scalability and team adoption
Collaborate with business stakeholders to translate functional needs into technical solutions
Continuously improve system performance, scalability, and usability
Perform other duties as assigned by supervisor.
Minimum Qualifications (Knowledge, Skills, and Abilities):
4+ years of experience in software engineering, data engineering, or related field
Strong Python development skills with experience building structured, production-quality applications
Experience with web frameworks such as FastAPI, Flask, or Streamlit
Experience with data processing tools and libraries (pandas, requests, web scraping frameworks)
Hands-on experience deploying and managing applications in AWS environments (EC2, Linux systems)
Experience building and consuming APIs and integrating with third-party systems
Familiarity with LLM-based application development (OpenAI, Claude, or similar APIs)
Understanding of prompt engineering, structured outputs, and AI application reliability considerations
Experience designing and building data pipelines and working with SQL databases
Ability to read, understand, and refactor existing prototype code into production-ready systems
Strong problem-solving skills and ability to work independently in an unstructured environment
Strong documentation and communication skills
Successful completion of pre-employment background and drug screening
Fosters good coworker citizenship and contributes to a positive work environment
Physical Demands and Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be provided to enable individuals with disabilities to perform the functions.
Prolonged periods sitting at desk and working on a computer
Ability to lift, move, and carry objects to 15 lbs.
This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.
M&D provides equal employment opportunity to all qualified applicants and employees without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, marital status, familial status, disability, military status, and genetic information.
Job Description
For the past
80+
years, **M &D **has led the aftermarket in remanufacturing innovation to address technological advancements and changing customer needs. In the past few decades, we have expanded beyond our remanufacturing roots to develop close (and sometimes exclusive) partnerships with the world’s leading OEMs and manufacturers.
Those partnerships with key suppliers like Bosch, Garrett, Federal Mogul, Cummins, Stanadyne, Holset, BorgWarner, Delphi, Yanmar, Mitsubishi, Denso and others have been critical in honing our remanufacturing capabilities and expanding our parts offering to include new, no core options in fuel injectors and fuel pumps, diesel engine cylinder heads, blocks, crankshafts and connecting rods.
M &D
also stocks a complete assortment of turbos (new and remanufactured), inframe overhaul kits, filtration and aftertreatment parts including DPFs, DOCs, EGRs, sensors and other engine parts.
Our strong remanufacturing roots combined with our 41+ branch locations, a nationwide outside sales team of 25 and our close OEM & Manufacturer partnerships make us unique in the industry – no one understands diesel engine failure analysis and parts better than
M &D .
WE FUEL UPTIME .
Position Summary
The AI Implementation Engineer is responsible for taking AI-powered prototypes and transforming them into production-ready, scalable, and maintainable systems deployed across M&D. This role focuses on hardening, deploying, and scaling AI applications that drive measurable business value across pricing, sales, ecommerce, and marketing functions.
Essential Duties and Responsibilities:
Refactor and productionize existing AI prototypes built in Python into reliable, scalable applications
Design and implement production-ready architectures with proper structure, logging, error handling, and testing
Deploy and manage AI applications in cloud environments (AWS), including EC2-based systems
Build and maintain APIs and services to support internal tools such as pricing intelligence systems, parts lookup tools, and analytics platforms
Develop and manage data pipelines (scrape → clean → normalize → store → serve) across multiple data sources
Integrate AI systems with internal platforms (e.g., ERP, ecommerce systems) and third-party APIs
Implement and optimize web scraping solutions at scale, including rate limiting, proxy management, and data normalization
Build and maintain AI-powered features using LLM APIs (e.g., OpenAI, Claude), including prompt engineering and structured outputs
Implement retrieval-augmented generation (RAG) and other AI patterns for business applications
Ensure security, reliability, and maintainability of deployed systems (IAM, environment variables, access control)
Document systems, workflows, and code to support long-term scalability and team adoption
Collaborate with business stakeholders to translate functional needs into technical solutions
Continuously improve system performance, scalability, and usability
Perform other duties as assigned by supervisor.
Minimum Qualifications (Knowledge, Skills, and Abilities):
4+ years of experience in software engineering, data engineering, or related field
Strong Python development skills with experience building structured, production-quality applications
Experience with web frameworks such as FastAPI, Flask, or Streamlit
Experience with data processing tools and libraries (pandas, requests, web scraping frameworks)
Hands-on experience deploying and managing applications in AWS environments (EC2, Linux systems)
Experience building and consuming APIs and integrating with third-party systems
Familiarity with LLM-based application development (OpenAI, Claude, or similar APIs)
Understanding of prompt engineering, structured outputs, and AI application reliability considerations
Experience designing and building data pipelines and working with SQL databases
Ability to read, understand, and refactor existing prototype code into production-ready systems
Strong problem-solving skills and ability to work independently in an unstructured environment
Strong documentation and communication skills
Successful completion of pre-employment background and drug screening
Fosters good coworker citizenship and contributes to a positive work environment
Physical Demands and Work Environment
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodation may be provided to enable individuals with disabilities to perform the functions.
Prolonged periods sitting at desk and working on a computer
Ability to lift, move, and carry objects to 15 lbs.
This job description in no way states or implies that these are the only duties to be performed by the employee(s) of this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by any person authorized to give instructions or assignments.
M&D provides equal employment opportunity to all qualified applicants and employees without regard to race, color, sex, religion, national origin, age, sexual orientation, gender identity, marital status, familial status, disability, military status, and genetic information.