Oracle

Software Developer 4 - AI Model Management

Posted On

Feb. 20, 2026

Location

Bengaluru, Karnataka

Experience Level

Professional

Job Type

Permanent

Apply By

March 1, 2026

Job Description

Job Description:

As a member of this team, you will work on implementing model registration capabilities and developing tools that provide built-in support for managing both embedding and generative models inside Oracle Database.

You will collaborate with core database engineers to design APIs and infrastructure that allow customers to discover, run, attach, and monitor AI models directly within the database environment.

Your contributions will help close the gap between vector databases and enterprise AI needs by bringing model lifecycle management into the data layer.

You will have these responsibilities:

Design and implement model registration capabilities within Oracle Database
Build tools and APIs to manage embedding and generative models in-database
Enable developers to attach models to vector and relational columns
Improve performance, scalability, and reliability of AI vector search features
Explore and evaluate new model providers and integrations
Track competitive landscape and industry trends in vector search and generative AI
Collaborate with core database engineering teams to ensure seamless integration
Develop monitoring and observability capabilities for model execution
Ensure governance, security, and compliance best practices are maintained
Participate in cloud deployment and lifecycle management of AI capabilities

Desired Skills:

Strong proficiency in machine learning concepts and AI systems
Solid understanding of vector search, embeddings, and Retrieval-Augmented Generation (RAG)
Proficiency with database schema management and relational systems
Strong programming skills in Python
Experience with PL/SQL, C, C++, Java, or similar (at least 2 preferred)
Experience working with cloud services and distributed systems
6+ years of software development experience
3+ years of experience with deep learning frameworks (TensorFlow, PyTorch, Keras, etc.)
Strong understanding of algorithms and data structures
Familiarity with DevOps practices (Git, CI/CD, Terraform, automation)
Understanding of networking fundamentals and security best practices
Strong analytical skills and ability to work independently
Excellent written and verbal English communication skills

Preferred Skills:

Familiarity with NLP systems and generative AI architectures
Experience designing and implementing AI/ML-based systems
Experience building or optimizing RAG pipelines
Knowledge of model lifecycle management and MLOps practices
Experience integrating external AI model providers
BS/MS/PhD in Computer Science, Computer Engineering, Applied Math, or related field

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