Artificial Intelligence Engineer

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This range is provided by EPITEC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$63.00/hr - $67.00/hr

No C2C - W2 Only

Position Description

• The Global Data Insight & Analytics organization is looking for a Software Engineer to help build and drive the development of generative AI applications that will transform the future of mobility.
• In this role, you will work in a dynamic, cross-functional team, collaborating directly and continuously with engineers, business partners, product managers, and designers.
• You will be responsible for developing cutting-edge generative AI applications and systems that can be deployed across various domains within Ford, enabling smarter decision-making, enhancing customer experiences, and optimizing operations.

Position Responsibilities

• Work closely with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and a modern, full-stack architecture.
• Work with software and ML engineers to tackle challenging problems in building and deploying agentic AI solutions.
• Design, build, and maintain cloud infrastructure using Infrastructure as Code (IaC) principles, managing configurations for dev, staging, and prod environments.
• Maintain and manage current CI/CD ecosystem and tools.
• Find ways to automate and continually improve current CI/CD and release processes.
• Examine, inspect code and scripts, and resolve issues across the full application stack.
• Help innovate and standardize development practices for building cloud-native AI products.
• Experiment, innovate and share knowledge with the team.
• Lead by example in the use of Paired Programming and Test-Driven Development for cross-training, problem-solving, and speed to delivery.
• Leverage latest ML / GenAI / agent frameworks to build complex AI workflows.

Basic Qualifications

• A Bachelor’s degree in Computer Science / Computer Engineering or a similar technical discipline.
• 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
• 2+ years of experience with Cloud Engineering, with familiarity in at least one major cloud platform (GCP, AWS, Azure).
• Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, Cloud Run, Big Query etc.
• Advanced working knowledge of object-oriented/object function programming languages:
  Python, C/C++.
• Strong proficiency with web frameworks and REST API (e.g., FastAPI, Flask, Django).

Experience Required

• 6+ years in IT
• 4+ years in development
• Engineer 3 Exp:
  Practical experience in 2 coding languages or advanced practical experience in 1 language
• ML workflow orchestration tools:
  Airflow, Kubeflow etc.
• Dev Ops and CI/CD principles:
  Jenkins, Tekton, Cloud Build, Git Hub Actions etc.
• Infrastructure as Code:
  Terraform etc.

• Mid-Senior level

• Contract

• Information Technology
• Industries
• Motor Vehicle Manufacturing

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