AI Developer

Job Description
What We Offer

• Work on impactful AI Project & Initiatives involving MCP, GenAI, and AI Agents.
• Mentorship from senior AI professionals working across LLMs, OCI, and MLOps pipelines.
• A culture of innovation, learning, and practical experimentation.
• Clear path to grow into AI Specialist or Technical Lead roles based on delivery excellence.

Responsibilities
Key Responsibilities

• Build and deliver AI Agents using GenAI frameworks, orchestrated through Model Context Protocol (MCP) to enable multi-step reasoning and tool invocation.
• Engineer prompt-based workflows, integrating LLMs with enterprise applications through REST APIs and OCI components.
• Develop and deploy AI models on OCI Functions, containerize them using OKE, and scale them through automated pipelines.
• Contribute to GenAI use case delivery across natural language querying, document intelligence, and process automation.
• Support MLOps practices for model versioning, continuous deployment, and monitoring in production.
• Write and optimize SQL queries and manage integration with structured data sources.
• Participate in system design, performance tuning, and end-user experience optimization for AI features.

Required Qualifications

• Master's degree in Artificial Intelligence, Machine Learning, Data Science, or a related field.
• 1–4 years of experience in Python development with exposure to ML/AI pipelines.
• Hands-on familiarity with Model Context Protocol (MCP) and AI Agent orchestration frameworks.
• Experience building solutions on Oracle Cloud Infrastructure (OCI) including Functions, OKE, and storage services.
• Strong understanding of prompt engineering, LLM APIs (OpenAI, Cohere, etc.), and embeddings.
• Proficiency with SQL, REST APIs, and containerized development (Docker/K8s).
• A passion for continuous learning, prototyping, and implementing state-of-the-art GenAI capabilities.

Ideal Candidate Traits

• Builder's mindset with strong curiosity for emerging AI technologies and techniques.
• Ability to research, evaluate, and implement latest AI papers, tools, or APIs quickly.
• Comfortable switching contexts between coding, system debugging, and conceptual solutioning.
• Collaborative and proactive in team environments, with a strong sense of ownership.

Interview Process

• Round 1: Deep coding test – Python, logic, and ML patterns
• Round 2: Technical interview – MCP, AI Agent flow, prompt design, OCI skills
• Round 3: Solution walkthrough – Design and delivery thinking
• Round 4 (Optional): Culture and growth alignment

Qualifications
Career Level - IC1

About Us
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity.

We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.

Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.

We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation- or by calling in the United States.

Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.