Akkodis
Overview
Akkodis is seeking a Software Engineer for a client in Dearborn, Michigan. You will build and scale generative AI applications that can redefine transportation. In this cross-functional role, youll collaborate with engineers, business partners, product managers, and designers to create AI systems that enhance decision-making, customer experiences, and operations. Compensation
Base pay range: $55.00/hr - $60.00/hr. The rate may be negotiable based on experience, education, geographic location, and other factors. Location
Dearborn, Michigan Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Candidates must have demonstrated on-the-job experience with Google Cloud Platform. Responsibilities Collaborate with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and modern full-stack architecture. Work with software and ML engineers to build and deploy agentic AI solutions. Design, build, and maintain cloud infrastructure across dev, staging, and production using Infrastructure as Code (IaC). Maintain and improve CI/CD pipelines and release processes; automate where possible. Inspect and debug code across the full application stack. Drive innovation and standardize best practices for cloud-native AI product development. Experiment, share knowledge, and promote paired programming and Test-Driven Development (TDD) to accelerate delivery. Use the latest ML, GenAI, and agent frameworks to build complex AI workflows.
Basic Qualifications
Bachelors degree in Computer Science, Computer Engineering, or a related technical field. 5+ years of backend software engineering experience in Python. At least 1 year of experience working hands-on with GCP and its services such as Vertex AI, Cloud Functions, Cloud Run, and BigQuery. Proficiency in object-oriented and functional programming. Strong experience with web frameworks and REST APIs (e.g., FastAPI, Flask, Django). Knowledge of MLOps, Generative AI, and AI agents. Experience with ML workflow orchestration tools (Airflow, Kubeflow). Skilled in DevOps and CI/CD tools (Jenkins, Tekton, Cloud Build, GitHub Actions). Experience with containerization (Kubernetes, Docker). Proficient in scripting (Bash, PowerShell). Experience with Infrastructure as Code (Terraform).
Preferred Qualifications
Masters degree in Computer Science, Machine Learning, or related field. Hands on with agentic AI frameworks like LangChain, LangGraph, ADK, CrewAI. Experience deploying serverless applications on CloudRun. Familiar with paired programming, TDD, and software craftsmanship principles. Quick to learn new technologies and apply Agile development practices. Strong teamwork, communication (oral and written), and self-starter mindset. Ability to identify bottlenecks and propose innovative solutions.
Please note, we cannot work on C2C basis. EEO and Additional Information
Equal Opportunity Employer/Veterans/Disabled. Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Candidate Privacy Information Statement: https://www.modis.com/en-us/candidate-privacy/ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
To apply, please click APPLY NOW. For other opportunities at Akkodis, visit www.akkodis.com. #J-18808-Ljbffr
Akkodis is seeking a Software Engineer for a client in Dearborn, Michigan. You will build and scale generative AI applications that can redefine transportation. In this cross-functional role, youll collaborate with engineers, business partners, product managers, and designers to create AI systems that enhance decision-making, customer experiences, and operations. Compensation
Base pay range: $55.00/hr - $60.00/hr. The rate may be negotiable based on experience, education, geographic location, and other factors. Location
Dearborn, Michigan Employment type
Contract Job function
Information Technology Industries
IT Services and IT Consulting Candidates must have demonstrated on-the-job experience with Google Cloud Platform. Responsibilities Collaborate with Tech Anchors, Product Managers, and Product Owners to deliver generative AI solutions on GCP using Python and modern full-stack architecture. Work with software and ML engineers to build and deploy agentic AI solutions. Design, build, and maintain cloud infrastructure across dev, staging, and production using Infrastructure as Code (IaC). Maintain and improve CI/CD pipelines and release processes; automate where possible. Inspect and debug code across the full application stack. Drive innovation and standardize best practices for cloud-native AI product development. Experiment, share knowledge, and promote paired programming and Test-Driven Development (TDD) to accelerate delivery. Use the latest ML, GenAI, and agent frameworks to build complex AI workflows.
Basic Qualifications
Bachelors degree in Computer Science, Computer Engineering, or a related technical field. 5+ years of backend software engineering experience in Python. At least 1 year of experience working hands-on with GCP and its services such as Vertex AI, Cloud Functions, Cloud Run, and BigQuery. Proficiency in object-oriented and functional programming. Strong experience with web frameworks and REST APIs (e.g., FastAPI, Flask, Django). Knowledge of MLOps, Generative AI, and AI agents. Experience with ML workflow orchestration tools (Airflow, Kubeflow). Skilled in DevOps and CI/CD tools (Jenkins, Tekton, Cloud Build, GitHub Actions). Experience with containerization (Kubernetes, Docker). Proficient in scripting (Bash, PowerShell). Experience with Infrastructure as Code (Terraform).
Preferred Qualifications
Masters degree in Computer Science, Machine Learning, or related field. Hands on with agentic AI frameworks like LangChain, LangGraph, ADK, CrewAI. Experience deploying serverless applications on CloudRun. Familiar with paired programming, TDD, and software craftsmanship principles. Quick to learn new technologies and apply Agile development practices. Strong teamwork, communication (oral and written), and self-starter mindset. Ability to identify bottlenecks and propose innovative solutions.
Please note, we cannot work on C2C basis. EEO and Additional Information
Equal Opportunity Employer/Veterans/Disabled. Benefit offerings available for our associates include medical, dental, vision, life insurance, short-term disability, additional voluntary benefits, EAP program, commuter benefits and a 401K plan. Our benefit offerings provide employees the flexibility to choose the type of coverage that meets their individual needs. In addition, our associates may be eligible for paid leave including Paid Sick Leave or any other paid leave required by Federal, State, or local law, as well as Holiday pay where applicable. Candidate Privacy Information Statement: https://www.modis.com/en-us/candidate-privacy/ The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: California Fair Chance Act Los Angeles City Fair Chance Ordinance Los Angeles County Fair Chance Ordinance for Employers San Francisco Fair Chance Ordinance
To apply, please click APPLY NOW. For other opportunities at Akkodis, visit www.akkodis.com. #J-18808-Ljbffr