FastTek Global
Software Engineer - Core Engineer #1036812
FastTek Global, Dearborn, Michigan, United States, 48120
Dearborn, Michigan
Software Engineer - Core Engineer #1036812 Overview
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. 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 the company, 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/understanding in MLOps, Gen AI, AI agents. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc. Experience in container management solutions: Kubernetes, Docker. Experience with scripting language: Bash, PowerShell etc. Experience with Infrastructure as Code: Terraform etc. Desired Skills
A Master\'s degree focused in Computer Science / Machine Learning or a related field. Experience working with Google Cloud Platform (GCP) - specifically a broad range of compute, data and messaging services like GKE, Cloud SQL, BigQuery, Firestore, Pub/Sub, Memory store, and Elasticsearch. Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, Crew AI etc. Experience building and deploying serverless applications on Cloud Run. Experience in programming concepts such as Paired Programming, Test-Driven Development, etc. Knowledge of coding and software craftsmanship practices. Must be a quick learner and open to learning new technology. Experience applying agile practices to solution delivery. Must be team-oriented and have excellent oral and written communication skills. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Skills Required
Python GCP REST APIs Full Stack Skills Preferred
Machine Learning Artificial Intelligence & Expert Systems Tekton GitHub Docker Kubernetes Experience Required
6+ years in IT; 4+ years in development Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. Education Required
Bachelor\'s Degree Education Preferred
Master\'s Degree Additional Information
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.
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Software Engineer - Core Engineer #1036812 Overview
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. 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 the company, 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/understanding in MLOps, Gen AI, AI agents. Experience with ML workflow orchestration tools: Airflow, Kubeflow etc. Experience in DevOps and CI/CD principles: Jenkins, Tekton, Cloud Build, GitHub Actions etc. Experience in container management solutions: Kubernetes, Docker. Experience with scripting language: Bash, PowerShell etc. Experience with Infrastructure as Code: Terraform etc. Desired Skills
A Master\'s degree focused in Computer Science / Machine Learning or a related field. Experience working with Google Cloud Platform (GCP) - specifically a broad range of compute, data and messaging services like GKE, Cloud SQL, BigQuery, Firestore, Pub/Sub, Memory store, and Elasticsearch. Hands-on experience with agentic AI frameworks: LangChain, LangGraph, ADK, Crew AI etc. Experience building and deploying serverless applications on Cloud Run. Experience in programming concepts such as Paired Programming, Test-Driven Development, etc. Knowledge of coding and software craftsmanship practices. Must be a quick learner and open to learning new technology. Experience applying agile practices to solution delivery. Must be team-oriented and have excellent oral and written communication skills. Must be a self-starter to understand existing bottlenecks and come up with innovative solutions. Skills Required
Python GCP REST APIs Full Stack Skills Preferred
Machine Learning Artificial Intelligence & Expert Systems Tekton GitHub Docker Kubernetes Experience Required
6+ years in IT; 4+ years in development Engineer 3 Exp: Prac. In 2 coding lang. or adv. Prac. in 1 lang. Education Required
Bachelor\'s Degree Education Preferred
Master\'s Degree Additional Information
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.
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