Applications Engineer

Oracle Fleet Manager (FM) is a very critical application to manage the Cloud environments, register customer and licenses. Fleet Manager is the core system for Change Manager processing and automation of Cloud environment patching and other system change tracking.

Job Requirements:

Responsibilities:

• Participate in the overall development effort and complete cycle of the project

• Analyze complex technical situations and propose creative, effective solutions

• Investigate existing and new technologies to build new features and integration points

• Provide high-quality design, code and maintain product features using Oracle Fusion technologies

• Interact closely with all the stake holders such as other Development teams, QA, Documentation, Release, Customers etc in ensuring eventual success of the product

• Rapidly develop AI-based prototypes and demos to showcase solutions and ideas to stakeholders, incorporating their feedback into future development iterations.

• Define and implement sophisticated evaluation metrics to measure and analyze model performance.

• Conduct quantitative and qualitative analysis, including error analysis, to enhance model development and data quality.

• Prepare detailed reports with evidence-based insights to support strategic decision-making.

• Work closely with team members to ensure successful and timely service integration.

• Participate actively in project planning, review, and retrospective sessions.

• Write production-grade code, advocate for best coding practices, and conduct peer reviews to maintain high engineering standards.

• Collaborate with internal and external team to collect and curate high-quality data for building and testing AI models based solution.

Minimum Qualifications:

• Strong academic background from top-tier institutes

• 1 - 6 years of experience in product development with Java and J2EE technologies

• Proven experience designing and deploying scalable AI models for production environments, with a successful track record of applying AI in real-world applications. Experience building applications using Large Language Models (LLMs) is a strong advantage.

• Demonstrated hands-on experience in full-stack development of generative AI models, from data preparation to model deployment, ensuring end-to-end AI system functionality.

• Practical experience with emerging LLM frameworks and plugins such as LangChain, LlamaIndex, VectorStores, Retrievers, LLM Cache, LLMOps (MLFlow), LMQL, and Guidance, showcasing your ability to stay at the forefront of AI technology.

• Proven experience in designing data collection and annotation solutions, as well as systematic evaluation processes crucial for developing and maintaining high-quality production systems.

• Strong collaboration skills with cross-functional teams, including data scientists, software engineers, and product managers, to integrate AI solutions into broader systems and deliver impactful results.

• Demonstrated experience in optimizing, scaling, and monitoring AI systems in production environments, ensuring models meet performance, reliability, and scalability requirements.

• Analyze, design develop, troubleshoot and debug software programs for commercial or end user applications. Writes code, completes programming and performs testing and debugging of applications.

• Experience with Java view technologies such as JSP and JSF and demonstrated knowledge of J2EE, Java, XML, Web Services, Micro Services, REST, Object-Oriented Design

• Experience developing web applications using at least one popular web framework (JSF, GWT, Spring MVC)

• Strong knowledge in Object Oriented Programming

• Good understanding Oracle Database programming including Database design, Oracle SQL and PL/SQL

• Excellent communication, analytical and problem solving skills

• Should be a fast learner and be able to collaborate with senior members / architects in the team

• Ability to excel under under pressure

• Familiarity with SOA Suite, Web Application Automation Testing is a big plus, but not mandatory