somewhere~26d ago

SU - Back-End AI Software Developer

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Quick Summary

Overview

Back-End AI Software Developer Location: Latin America Salary Range: 1000 - 5500 USD Role Description: The Back-End AI Software Developer is responsible for designing, building, and maintaining scalable server-side infrastructure that supports AI-powered applications and services.

Key Responsibilities

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.

Requirements Summary

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.

Technical Tools

awsazuredjangodockerfastapiflaskgcpgraphqlhuggingfacejavajavascriptkafkakubernetespythonpytorchredisscikit-learnsqltensorflowagileci-cddatabase-designetlfintechmachine-learningmicroservicesrest-apissaassecurity-best-practices

Back-End AI Software Developer

Location: Latin America

Salary Range: 1000 - 5500 USD

Role Description:

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.

Key Responsibilities:

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.

Qualifications:

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.

Preferred Skills:

Experience with MLOps tools and model lifecycle management.
Familiarity with message brokers (Kafka, RabbitMQ) and task queues (Celery, Redis).
Understanding of data privacy regulations and security best practices in AI applications.
Exposure to large language models (LLMs) and prompt engineering concepts.
Background in SaaS, fintech, healthcare tech, or other AI-heavy domains is a plus.

Details: