Back-End AI Software Developer
About the role
The Back-End AI Software Developer is responsible for designing, building, and maintaining scalable server-side infrastructure that supports AI-powered applications and services. This role works closely with machine learning engineers, data scientists, and front-end developers to implement APIs, data pipelines, and integrations with AI models and frameworks. The ideal candidate has strong back-end development experience and a solid understanding of deploying, managing, and optimizing AI and ML systems in production environments.
What you'll do
- Design and develop robust, secure, and scalable back-end systems and APIs to support AI-driven features.
- Integrate machine learning models (via frameworks like TensorFlow, PyTorch, Hugging Face) into production-ready applications.
- Develop and maintain RESTful or GraphQL APIs for use by front-end teams and external services.
- Collaborate with AI/ML engineers to deploy, serve, and monitor models efficiently using tools like FastAPI, Flask, Django, or Node.js.
- Optimize inference performance and manage versioning and scaling of AI models.
- Implement data pipelines for training, inference, and feedback loops using cloud and big data tools.
- Set up and manage infrastructure on cloud platforms (AWS, GCP, Azure) including CI/CD pipelines, containers (Docker), and orchestration (Kubernetes).
- Ensure system security, compliance, and data protection throughout all back-end operations.
- Monitor system performance, troubleshoot issues, and improve backend scalability and reliability.
- Collaborate cross-functionally in agile development cycles with product managers, front-end developers, and data teams.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field.
- 3+ years of experience in back-end development, with a strong command of Python, Node.js, or Java.
- Experience working with AI/ML model deployment in real-time or batch environments.
- Familiarity with AI frameworks such as TensorFlow, PyTorch, scikit-learn, or Hugging Face Transformers.
- Strong experience with RESTful API development, microservices architecture, and asynchronous processing.
- Proficient in database technologies (SQL, NoSQL) and data modeling.
- Experience with Docker, Kubernetes, Git, and CI/CD workflows.
- Knowledge of cloud environments and services (e.g., AWS Lambda, EC2, S3, SageMaker; or equivalents in GCP/Azure).
- Strong problem-solving skills, attention to detail, and ability to work independently or in a collaborative team setting.
About Somehere
We recruit, vet, and place top 1% remote talent for up to 80% less than US equivalents.
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