Oracle
Software Developer 3
Job Description
Key Responsibilities
- Design, develop, and support AI-based enterprise applications using modern AI tools and technologies (e.g., AI Agents, Retrieval Augmented Generation [RAG], Model context protocol [MCP], Large Language Models).
- Apply classical AI techniques such as clustering, classification, regression, Monte Carlo simulations, and Bayesian blending.
- Participate in system planning, scheduling, and implementation for enterprise-scale AI applications.
- Build new product features and/or enhance existing features to automate complex business flows and operations.
- Collaborate with cross-functional teams to understand requirements and deliver innovative AI-driven solutions.
- Ensure application scalability, reliability, and performance in a cloud environment.
- Contribute to best practices for development, testing, and deployment of AI applications.
Essential Skills
- Proficiency in programming languages relevant to AI (e.g., Python, Java).
- Familiarity with modern AI/ML frameworks and platforms (e.g., TensorFlow, PyTorch, Oracle Cloud AI services).
- Practical experience with enterprise software development, including REST APIs, microservices, and cloud-native architectures.
- Strong problem-solving skills, particularly in translating business needs into scalable AI solutions.
- Excellent written and verbal communication skills.
- Ability to work effectively in a collaborative, multi-disciplinary, and global team environment.
Qualifications
Required:
- Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
- Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
Preferred:
- Masters degree or higher in Computer Science, Data Science, Artificial Intelligence, or related discipline.
- Experience with Large Language Models, Retrieval Augmented Generation, or other advanced modern AI tooling.
- Prior work with cloud platforms (preferably Oracle Cloud Infrastructure) a major plus.
- Experience in developing and deploying enterprise-grade AI solutions.
- Familiarity with DevOps practices and tools for CI/CD.
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