Backend Integration Engineer (AI/Model Services)

Motion Recruitment
Charlotte, NC, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence BigQuery Business Software C++ (Programming Language) Cloud Computing Cloud Engineering Continuous Integration Relational Databases DevOps Python (Programming Language) Linux System Administration
+15 more
Azure Machine Learning Software Engineering Google Cloud Enterprise Software Applications Cloud Platform System Large Language Models Backend Git Containerization Kubernetes Deployment Automation Enterprise Integration Api Gateway Golang Microservices

Job description

  • 40% Golang/Python Backend Development
  • 25% API & Service Integration
  • 15% Cloud & Container Technologies (GCP/Kubernetes)
  • 10% CI/CD & DevOps Practices
  • 10% Architecture & Technical Leadership

Daily Responsibilities

  • Design and develop scalable backend services and APIs
  • Build integration layers that expose predictive model outputs to business applications
  • Create real-time services supporting AI and machine learning solutions
  • Partner with data science teams to operationalize predictive models
  • Collaborate with global engineering teams on platform modernization efforts
  • Contribute to architecture and design decisions for enterprise-scale systems
  • Implement CI/CD best practices and deployment automation
  • Mentor engineers and provide technical leadership across projects
  • Support cloud migration and modernization initiatives

Requirements

  • 5+ years of software engineering experience
  • Strong backend development experience using Golang and/or Python
  • Experience building scalable, real-time services and APIs
  • Strong understanding of microservices and service integration architectures
  • Proven experience leading projects, initiatives, or engineering teams
  • Experience with containerization technologies such as Kubernetes
  • Linux administration and development experience
  • Experience with Git and CI/CD pipelines
  • Strong relational database experience
  • Excellent communication and collaboration skills

Desired Skills & Experience

  • Experience with Google Cloud Platform (GCP)
  • Exposure to Vertex AI, BigQuery, or cloud-native AI/ML platforms
  • Experience integrating predictive models into enterprise applications
  • Knowledge of model-serving architectures and API gateways
  • Rust and/or C++ experience
  • Familiarity with GenAI, LLMs, or AI agents
  • Experience working in distributed or global team environments

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Vision insurance
  • Health savings account
  • Dental insurance
  • Paid sick time
  • Flexible spending account, * Medical Insurance - Four medical plans to choose from for you and your family
  • Dental & Orthodontia Benefits
  • Vision Benefits
  • Health Savings Account (HSA)
  • Health and Dependent Care Flexible Spending Accounts
  • Voluntary Life Insurance, Long-Term & Short-Term Disability Insurance
  • Hospital Indemnity Insurance
  • 401(k) including match with pre and post-tax options
  • Paid Sick Time Leave
  • Legal and Identity Protection Plans
  • Pre-tax Commuter Benefit
  • 529 College Saver Plan

About the company

Our client is a leading financial services organization focused on modernizing enterprise data science and predictive analytics platforms. Based out of Charlotte, NC and the San Francisco Bay Area, they are looking to hire a Senior / Lead Backend Integration Engineer on a contract basis. If you’re passionate about building scalable backend systems that power next-generation AI and predictive modeling solutions, this is an exciting opportunity to make a significant impact. This role is ideal for an engineer who enjoys solving complex integration challenges, developing high-performance services, and connecting advanced analytics capabilities to real-world business applications. You’ll work alongside data scientists, platform engineers, and global technology teams while helping drive cloud modernization initiatives. This position offers exposure to cutting-edge technologies, technical leadership opportunities, and the chance to influence the architecture of large-scale enterprise solutions.

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