Software Developer 2

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. Qualifications
  

Required:

• Bachelor’s degree or equivalent experience in Computer Science, Engineering, Mathematics, or a related technical field.
• At least 2 years of experience in AI, software engineering, or closely related fields (exceptional candidates with less experience will be considered).
• Hands-on knowledge of common AI techniques, including machine learning methods and statistical modeling.
  

Preferred:

• Bachelors 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.
  

Responsibilities

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

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