Senior AI Engineer

About the job

Job Description: Senior AI Engineer (AI Backend Developer) Position Type: Long-Term Experience: 8+ Years Location: Remote Work Mode: Work From Home (WFH) Shift Timing: US Time Zone Overlap About the Role We are looking for a highly experienced Senior AI Engineer / AI Backend Developer with a strong foundation in software engineering and applied AI/ML. The ideal candidate will design, develop, deploy, and scale intelligent systems that power real-world, production-grade applications. This role requires close collaboration with cross-functional teams to deliver reliable, high-performance, AI-driven solutions. Key Responsibilities • Design, develop, and implement AI/ML models and integrate them into scalable backend systems. • Build secure, robust, and high-performance APIs and services to support AI-driven functionalities. • Collaborate closely with data scientists, backend/frontend engineers, and product managers to define requirements and deliver end-to-end AI solutions. • Train, test, validate, and evaluate machine learning models using structured and unstructured datasets. • Optimize models, APIs, and services for performance, scalability, reliability, and accuracy. • Deploy AI/ML models into production environments and ensure continuous monitoring, logging, and performance tuning. • Participate in architectural decisions and contribute to backend system design. • Write clean, maintainable, testable, and well-documented code following best software engineering practices. • Conduct code reviews, mentor junior engineers, and contribute across the full Software Development Life Cycle (SDLC). • Stay current with emerging AI/ML technologies, tools, and best practices. Required Skills & Qualifications • Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. • 8+ years of overall software engineering experience, with 3+ years of hands-on experience in AI/ML-focused development. • Strong programming expertise in Python (mandatory); Java or C++ is an added advantage. • Extensive experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar. • Solid experience deploying and scaling AI models on cloud platforms (AWS, GCP, Azure). • Strong understanding of data structures, algorithms, and software design patterns. • Hands-on experience with REST APIs, microservices architecture, and backend system design. • Proficiency in containerization and orchestration tools such as Docker and Kubernetes. • Experience working with data pipelines, feature engineering, data preprocessing, and databases (SQL & NoSQL). • Familiarity with CI/CD pipelines, model versioning, and MLOps practices is a strong plus. • Excellent problem-solving, communication, and collaboration skills. Good to Have • Experience with LLMs, NLP, Computer Vision, or Generative AI use cases. • Exposure to MLOps frameworks (MLflow, Kubeflow, Airflow). • Experience in high-scale, production-grade AI systems serving real-time workloads.

Requirements

• AI
• ML
• Python
• Java
• C++
• TensorFlow
• PyTorch
• Scikit-learn
• AWS
• GCP
• Azure

Qualifications

• Bachelor’s or Master’s degree in Computer Science
• Artificial Intelligence
• Machine Learning

Preferred Technologies

• AI
• ML
• Python
• Java
• C++
• TensorFlow
• PyTorch
• Scikit-learn
• AWS
• GCP
• Azure