Applied AI Backend Developer – Database Search & Assistant

Oracle; Región Centro; Presencial; MXN 600,000 - 800,000; Jornada completa

Descripción de la vacante

A leading technology firm in Mexico is seeking a Software Engineer to join their Oracle Database Knowledge Agent team. The role involves designing, developing, and deploying algorithms in the Cloud, enhancing productivity and decision-making. Key qualifications include expertise in machine learning, proficiency in programming languages, and strong analytical skills. The ideal candidate will hold a BS/MS/PhD in a relevant field and have experience with Cloud services.

Formación

• Proficiency with machine learning algorithms and concepts.
• Proficiency with basic database schema management and operation.
• Familiarity with code development in at least 2 languages such as PL/SQL, C, C++, Java, Perl.
• 1+ years of experience in developing or using deep learning frameworks.
• Strong analytical skills and an independent thinker.
• Proficiency with coding in Python, algorithms, and data structures.
• Experience working with Cloud services or personal server setups.

Responsabilidades

• Improve the accuracy of existing algorithms.
• Broaden algorithms to work with various Oracle products.
• Enhance run-time of existing algorithms.
• Develop infrastructure to maintain algorithms.
• Develop a feedback system for algorithm feature selection.

Conocimientos

Machine learning algorithms

Database schema management

PL/SQL, C, C++, Java, Perl

3+ years of work experience

Deep learning frameworks

Analytical skills

Written and oral communication

Python coding

Cloud services

CI/CD & DevOps Tools

Networking fundamentals

Educación

BS/MS/PhD degree in CS, CE, applied math

Herramientas

Git

Jenkins

Terraform

Descripción del empleo

About the product

ORACLE Database Knowledge Agent (DBSA) is a subcomponent of the ORACLE Applied AI Group. DBSA 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 the 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

Qualifications

Career Level - IC2

Responsibilities

As a member of this team, you will continue with DBSA product lifecycle: 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