The Senior AI Engineer will lead the design and implementation of AI-powered applications, intelligent agents, predictive analytics solutions, and scalable backend services. This role requires expertise in Python development, machine learning, enterprise AI platforms, cloud technologies, and API architecture. You will collaborate with cross-functional teams to transform business requirements into secure, scalable, and production-ready solutions while ensuring alignment with enterprise governance and compliance standards.

Required Qualifications

- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related discipline.
- 8+ years of qualified software development experience.
- Strong proficiency in Python, including object-oriented programming, asynchronous programming, and API development.
- Experience developing Generative AI applications using modern LLM platforms and agent frameworks.
- Experience implementing RAG architectures and vector database solutions.




- Strong understanding of machine learning concepts and hands-on experience with scikit-learn, pandas, Num Py, and PyTorch or Tensor Flow.
- Experience building REST APIs and production-ready data pipelines.
- Experience with Microsoft Azure and Microsoft 365 integration technologies.
- Knowledge of software architecture, security, scalability, and enterprise integration patterns.
- Experience using Git-based development workflows and AI-assisted coding tools.

Preferred Qualifications

- Experience with Java and Spring Boot.
- Experience with Docker, Kubernetes, and CI/CD pipelines.
- Familiarity with MLOps platforms such as MLflow, Kubeflow, or Azure Machine Learning.
- Experience building enterprise copilots and AI assistants.
- Knowledge of AI evaluation frameworks, guardrails, observability, and responsible AI practices.

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📌 Technical Lead (India)
🏢 Ford Motor
📍 India