Artificial Intelligence Engineer

Role &

Job Title: AI Engineer

Experience: 8-10 Years
Location: Remote (Offshore Resource)

Job Description:

We are seeking a highly skilled AI Engineer with 8-10 years of relevant experience in designing, deploying, and maintaining AI/ML solutions. The ideal candidate will have expertise in API integration, cloud-based deployments, and automation testing for AI/ML systems.

Key Responsibilities:

AI Software Engineer Role:

• Design and implement API layers and middleware for seamless integration of AI/ML models into existing software ecosystems using REST, gRPC, or GraphQL protocols.
• Collaborate with data science teams to convert trained AI models into deployable assets using frameworks like TensorFlow Serving, ONNX, or custom-built wrappers.
• Develop and optimize communication pipelines between AI systems and enterprise software using technologies such as Kafka, RabbitMQ, or Azure Event Hubs.
• Ensure smooth integration of AI capabilities into enterprise platforms (e.g., SAP, Salesforce) by building custom connectors and leveraging APIs.
• Deploy AI services in cloud-based environments (AWS, Azure, GCP) with scalable and high-availability architectures using tools like Kubernetes, Docker, and serverless frameworks.

AI Automation Engineer Role:

• Develop and execute integration test cases for AI/ML model interactions with software systems using tools like Pytest, TestNG, Postman, or Ragas for API validation.
• Automate functional, regression, and performance testing of AI-integrated systems with frameworks like Selenium, Robot Framework, or Cypress.
• Validate model performance and accuracy post-integration using benchmarking tools such as MLflow, TensorBoard, or custom-built testing scripts.
• Perform end-to-end testing of AI-enhanced workflows in cloud, edge, and on-premises setups, ensuring stability and interoperability across components.
• Monitor AI system behavior and integration performance using tools like Prometheus, Grafana, or Splunk to generate detailed reports for engineering teams.

Required Skills:

• Strong programming expertise in Python, Java, or C++.
• Proficiency in AI/ML frameworks such as TensorFlow, PyTorch, Keras, and ONNX.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Hands-on experience with CI/CD pipelines and deployment frameworks.
• Proficient in test automation frameworks and performance monitoring tools.
• Strong understanding of cloud platforms (AWS, Azure, GCP) and serverless technologies.

Preferred Skills:

• Familiarity with enterprise systems (e.g., SAP, Salesforce).
• Knowledge of benchmarking tools for AI/ML model validation.
• Exposure to edge computing and hybrid cloud setups.