Applied AI Backend Developer – Database Search & Assistant

Description

**About the product:** ORACLE Database Knowledge Agent (DBSA) is a subcomponent of the ORACLE Applied AI Group. DBSA It is a service that provides accurate answers to your questions about Oracle Database and related products. It leverages cutting\-edge AI capabilities in Oracle Autonomous Database 26ai, such as AI Vector Search, and integrates with OCI Generative AI Service to deliver relevant, context\-aware responses. **The Challenge:** Database\-related content is scattered across multiple silos, making it difficult to find the right information quickly. **Our Solution:** DBSA consolidates content from various sources such as product documentation, white papers, AskTOM, and MOS KM Documents, and creates custom embeddings stored in the Oracle Database. Using state\-of\-the\-art AI, DBSA then transforms the fragmented, siloed data into actionable insights, enhancing productivity and decision\-making for Oracle developers and support engineers. **About us:** The ORACLE Applied AI group in Mexico currently consists of about 25\+ industry\-leading developers who participate across multiple products. We partner with our development team in US and India. As a member of the software engineering division at Oracle you will participate in all phases of software product definition, development and ongoing enhancement and support. **Desired Skills:** \- Proficiency with machine learning algorithms and concepts \- Proficiency with basic database schema management and operation \- Familiarity with code development in PL/SQL, C, C\+\+, Java, Perl (at least 2\) \- 3\+ years of work experience \- 1\+ years of experience in developing or using deep learning frameworks e.g. TensorFlow, PyTorch, Keras, etc. \- Strong analytical skills and an independent thinker \- English is a must have, excellent written and oral communication, strong interpersonal skills and willingness to be a team player. \- Proficiency with coding in Python. Algorithms and data structures. \- Experience working with Cloud services, or building your own server (Personal cloud, automation, “homelab”, Linux, containerized VMs, Networking) is a bug plus \- **CI/CD \& DevOps Tools:** Familiarity with Git, Jenkins, Terraform, and other DevOps practices for infrastructure as code. \- **Networking \& Security:** Understanding of networking fundamentals (TCP/IP, DNS, firewalls, VPNs) and cybersecurity best practices. **Preferred Skills:** \- Familiarity with natural language processing (NLP) \- Familiarity with designing and implementation of machine learning and AI based system \- Familiarity with Retrieval Augmented Generation (RAG) pipeline \- BS/MS/PhD degree in computer science, computer engineering, applied math or related field As a member of this team, you will continue with DBSA product Lifecyle: design, development, deployment in the Cloud and any future integration. DBSA is the core component providing the knowledge sources that feed the “AI Private Agent Factory” a recently released ORACLE 26ai feature that provides a no\-code AI agent builder and deployment framework. See more at : https://www.oracle.com/news/announcement/ai\-world\-database\-26ai\-powers\-the\-ai\-for\-data\-revolution\-2025\-10\-14/ **You will have these responsibilities:** \- Improve the accuracy of existing algorithms to an acceptable level \- Broaden existing algorithms to work well with various Oracle products \- Improve the run\-time of existing algorithms \- Develop and maintain necessary infrastructure to run and maintain the algorithms \- Develop a feedback system to improve the selection of features for the algorithms