Jobs in the United States

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Added 1 min ago
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Data Engineer
Guidehouse Inc.
VA
- $85,000 to $141,000 USD / year
…opportunities, and design data‑driven solutions. Leverage tools such as Python and platforms such as Databricks to create and maintain automated workflows to catalog data using APIs to…
Added 2 mins ago
ET
VMware Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $95,000 to $150,000 USD / year
We are seeking an experienced VMware Engineer to design, implement, manage, and optimize enterprise virtualization infrastructure. The ideal candidate will have strong expertise in VMware…
Added 2 mins ago
ET
Test Automation Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $80,000 to $150,000 USD / year
We are seeking a skilled Test Automation Engineer with hands-on experience in Selenium, Cypress, Playwright, and CI/CD pipelines. The ideal candidate will develop and maintain automated…
Added 2 mins ago
ET
Systems Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $135,000 USD / year
We are seeking a skilled and motivated Systems Engineer to join our growing technology team. The ideal candidate will be responsible for designing, implementing, maintaining, and optimizing…
Added 2 mins ago
ET
QA Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $125,000 USD / year
We are seeking a detail-oriented and experienced QA Engineer to join our technology team. The ideal candidate will be responsible for ensuring the quality, reliability, and performance of…
Added 2 mins ago
ET
Junior Data Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $75,000 to $115,000 USD / year
We are seeking a motivated and detail-oriented Junior Data Engineer to join our data engineering team. The ideal candidate will have a foundational understanding of Python, SQL, ETL…
Added 2 mins ago
ET
Full Stack Software Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $95,000 to $125,000 USD / year
We are looking for a skilled Full Stack Software Engineer with 2–4 years of experience in designing, developing, and maintaining scalable web applications. The ideal candidate should have…
Added 2 mins ago
ET
Frontend Software Engineer
EdgeQ Technologies Private Limited
New York City, NY
- $65,000 to $95,000 USD / year
We are looking for a motivated and detail-oriented Frontend Software Engineer to join our software development team. The ideal candidate should have a basic understanding of programming…
Added 2 mins ago
ET
Embedded Software Engineer (US)
EdgeQ Technologies Private Limited
San Jose, CA · Seattle, WA · Washington, DC
- $85,000 to $135,000 USD / year
We are seeking a skilled Embedded Software Engineer to design, develop, test, and maintain software for embedded systems and connected devices. The ideal candidate will have experience in…
Added 2 mins ago
ET
DevOps Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $150,000 USD / year
We are seeking a skilled and motivated DevOps Engineer with 2–7 years of professional experience in database management, data modeling, ETL processes, and data quality management.
Added 2 mins ago
ET
DevOps Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $100,000 to $180,000 USD / year
We are seeking a skilled DevOps Engineer with hands-on experience in AWS, Docker, Kubernetes, and CI/CD pipelines. The ideal candidate will help automate infrastructure, streamline software…
Added 2 mins ago
ET
Desktop Applications Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $125,000 USD / year
We are seeking a skilled Desktop Applications Engineer to design, develop, test, and maintain high-quality desktop software applications. The ideal candidate will have hands-on experience…
Added 2 mins ago
ET
Data Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $125,000 USD / year
We are looking for a motivated and enthusiastic Data Engineer to join our growing engineering team. This opportunity is open to candidates with 0–5 years of experience, including fresh…
Added 2 mins ago
ET
Data Engineer
EdgeQ Technologies Private Limited
New York City, NY · Seattle, WA · Austin, TX
- $85,000 to $160,000 USD / year
We are seeking a skilled Data Engineer with 2–8 years of experience to design, develop, and maintain scalable data pipelines and data infrastructure. The ideal candidate will have strong…
Added 2 mins ago
ET
Database Administrator (DBA)
EdgeQ Technologies Private Limited
Remote, United States
- $90,000 to $140,000 USD / year
3–8 years of experience as a Database Administrator or Database Engineer.
Added 2 mins ago
ET
Backend Software Engineer
EdgeQ Technologies Private Limited
Austin, TX
- $85,000 to $115,000 USD / year
We are looking for a skilled and motivated Backend Software Engineer with 1–3 years of experience in developing, maintaining, and optimizing backend applications. The ideal candidate should…
Added 2 mins ago
ET
API Development Engineer
EdgeQ Technologies Private Limited
Florida City, FL · Texas City, TX
- $95,000 to $155,000 USD / year
We are seeking a skilled API Development Engineer to design, develop, implement, and maintain scalable, secure, and high-performance APIs. The ideal candidate will have strong experience in…
Added 2 mins ago
ET
Analytics Engineer
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $165,000 USD / year
We are looking for a talented Analytics Engineer to transform raw data into reliable, well-structured, and actionable datasets that support business intelligence, reporting, and strategic…
Added 2 mins ago
ET
AI/ML Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $85,000 to $130,000 USD / year
We are seeking a motivated and technically skilled AI/ML Engineer to join our engineering team. The ideal candidate will have a strong foundation in Python programming, machine learning…
Added 2 mins ago
ET
AI Engineer (US)
EdgeQ Technologies Private Limited
San Francisco, CA
- $100,000 to $180,000 USD / year
We are seeking a talented and motivated AI Engineer to design, develop, and deploy AI-powered applications using Python, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG),…
Added 2 mins ago
ET
AI Engineer (Remote)
EdgeQ Technologies Private Limited
Remote, United States
- $110,000 to $150,000 USD / year
We are looking for a talented and motivated AI Engineer with 1–5 years of professional experience to join our growing engineering team.
Added 3 mins ago
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Quality Engineer
Pontoonglobal
Remote, United States
- ₹400,000 to ₹800,000 INR / year
We are looking for a skilled Quality Engineer to join our SAP Field Service Management (FSM) team. The ideal candidate will have strong experience in automation testing, performance…
Added 8 mins ago
Software Engineer, Fleet Systems
Humble Robotics
United States
We're looking for an experienced software engineer to develop, deploy, and improve the software powering our autonomous vehicle fleet. You'll work across the onboard software stack,…
Added 9 mins ago
Senior Data Engineer, AdTech
T-Mobile USA, Inc.
NY · Philadelphia, PA
4-7 years Advanced knowledge and experience in building complex data pipelines with Python, Experience in languages such as SQL, DAX Python, Java, Scala, and/or Go (Required)
Added 13 mins ago
Google Cloud Data Architect 1
Capgemini
Nashville, TN, TN · Atlanta, GA
We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands-on…

Federal Express Corporation

AI Engineer II

Memphis, TN, United States
Coraopolis, PA, United States
Plano, TX, United States

$11,410.38 USD / month

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Job details

Pay: $11,410.38 USD / month
Education: Bachelor’s degree
Experience: This includes 2+ years of hands-on experience with a deep learning framework.
Posting language: English
Posted: Nov 4, 2026

Original job description

Domicile Information:

Business Summary:

The AI Engineer is responsible for designing, developing, deploying, and maintaining artificial intelligence and machine learning solutions that support intelligent automation, predictive insight, and advanced analytics across the enterprise. As a hands-on builder, this role applies software engineering principles to write production-quality code, build scalable AI systems, including AI Agents and data pipelines, and integrate AI models into new and existing business applications. The AI Engineer collaborates closely with Data Scientists, Data Engineers, ML Ops Engineers, and Platform teams to bring machine learning models from prototype to production. A critical part of this function is to ensure that AI use cases are transitioned from experimentation into reliable, governed, and business-ready solutions by owning their complete operational readiness. This includes implementing robust observability, defining Service Level Objectives (SLOs), and establishing clear incident response and rollback strategies for all AI services.

Job Responsibilities:

Model Development & Implementation - Write clean, efficient, and well-documented code to develop and implement machine learning and AI models that support various business use cases. Implement data engineering and preprocessing workflows required for model inputs. Continuously optimize the performance and scalability of AI applications and models. ML Pipelines & Operations (MLOps) - Design, develop, and maintain scalable ML pipelines for model training, validation, inference, and deployment. Collaborate with ML Ops Engineers to package and deploy models into enterprise systems using established MLOps practices. Monitor deployed models in production for performance, data drift, and reliability, and troubleshoot and resolve any issues that arise. Establish and own the operational readiness of all AI services by defining and implementing Service Level Objectives (SLOs) for key metrics, such as p50/p95 latency and availability, and creating robust monitoring and alerting for model drift, latency, and error rates. Collaboration & Integration - Work closely with Data Scientists to transition experimental models and research prototypes into robust, production-ready systems. Support the integration of AI capabilities into enterprise workflows, applications, and digital platforms. Contribute to the documentation and explainability of model outputs to ensure clarity for business stakeholders. Governance & Strategy - Ensure all deployed AI systems comply with enterprise governance, fairness, and security standards. Evaluate emerging AI technologies, such as LLMs and generative AI, to assess their applicability to business problems and drive innovation.

Preferred Skills, Knowledge, and Experience:

Core Technical & AI Proficiency - Strong coding skills in Python, Java, or C++, including API development and software design. Deep understanding of core machine learning concepts, including classification, regression, clustering, and deep learning architectures. Hands-on experience with modern deep learning frameworks and algorithms (supervised/unsupervised), such as PyTorch, TensorFlow, or similar for building and training complex neural networks. Skills in working with LLMs, prompt engineering, fine-tuning, and using frameworks like LangChain and LangGraph to build RAG (Retrieval-Augmented Generation) systems. Handling data wrangling, SQL, data warehousing, and ETL pipelines to prepare data for models. End-to-End ML Model Lifecycle - Proven experience in the end-to-end model lifecycle: developing, training, and deploying machine learning models from prototype to production. Mastery of data preprocessing, feature engineering, and model evaluation techniques to ensure robust and accurate model performance. Demonstrated ability to build and optimize scalable data pipelines for training and evaluating machine learning models. Strong knowledge of both SQL and NoSQL databases for querying and managing data for AI applications. Software & MLOps Engineering - Solid foundation in software engineering best practices, including version control (Git), automated testing, and CI/CD pipelines. Hands-on experience with containerization using Docker and container orchestration with Kubernetes for scalable deployment. Expertise in MLOps observability, including model monitoring to track performance and drift, and establishing model/version lineage, telemetry, and traceability. Experience implementing advanced testing and deployment strategies, including canary/shadow deployments and comprehensive test suites (unit, integration, adversarial, regression). Demonstrated ability to integrate AI models and services into enterprise applications by building and consuming RESTful APIs. Cloud & Infrastructure - Proficiency with at least one major cloud platform (GCP, AWS, Azure) and its associated AI/ML services (e.g., Vertex AI, SageMaker, Azure ML). Experience with big data technologies, such as Apache Spark or similar, for processing large-scale datasets in a cloud environment. Collaboration & Frontend Development - Strong problem-solving and analytical skills, with the ability to collaborate effectively in an Agile development environment. Excellent communication skills to articulate complex technical concepts to both technical and non-technical stakeholders. Experience with modern frontend JavaScript frameworks such as React, Vue.js, Angular or similar for building user-facing applications that consume AI models.

Minimum Education Bachelor’s degree in Computer Science, Data Science, Engineering, or related field is required; Master’s is highly preferred. Minimum Experience Must have independently built, trained, and iterated on multiple ML models. This includes 2+ years of hands-on experience with a deep learning framework.

Pay Range:

Plano, TX: $8,896.99 / mo - $12,010.93 / mo Pittsburgh, PA: $8,896.99 / mo - $12,010.93 / mo Memphis, TN: $8,452.14 / mo - $11,410.38 / mo

Preferred Qualifications:

Pay Transparency:

Pay: Plano, TX: $8,896.99 – $12,010.93; Pittsburgh, PA: $8,896.99 – $12,010.93;Memphis, TN: $8,452.14 – $11,410.38

Additional Details:

For details on our comprehensive benefits, click here. Federal Express Corporation is an Equal Opportunity Employer including, Vets/Disability. Reasonable accommodations are available for qualified individuals with disabilities throughout the application process. Applicants who require reasonable accommodations in the application or hiring process should contact recruitmentsupport@fedex.com.

Applicants have rights under Federal Employment Laws:

Know Your Rights
Pay Transparency
Family and Medical Leave Act (FMLA)
Employee Polygraph Protection Act

E-Verify Program Participant: Federal Express Corporation participates in the Department of Homeland Security U.S. Citizenship and Immigration Services’ E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:

E-Verify Notice (bilingual)
Right to Work Notice (English) / (Spanish)

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