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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.
Base pay range
$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, BigQuery 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.
- DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc.
- Infrastructure as Code: Terraform etc.
Seniority level
Employment type
Job function
- Information Technology
- Industries
- Motor Vehicle Manufacturing
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