Associate AI Engineer

About the Role

We are looking for a motivated and curious AI Engineer to join our Enterprise Systems team and help build the next generation of AI-enabled enterprise solutions. In this role, you will work on Generative AI, Large Language Models (LLMs), AI Agents, Retrieval-Augmented Generation (RAG), and intelligent automation, with opportunities to apply these technologies across Oracle Fusion Applications and Oracle E-Business Suite (EBS). This is an ideal opportunity for an early-career engineer with strong AI fundamentals, Python programming skills, hands-on AI project experience, and a passion for learning emerging technologies. Knowledge or exposure to Oracle Fusion AI capabilities, Oracle AI frameworks, or Agentic AI will be an added advantage.

Key Responsibilities

• Build AI and Generative AI Solutions
• Design, develop, test, and enhance AI and Generative AI solutions for enterprise use cases.
• Build solutions such as LLM-based Q&A assistants, conversational assistants, document summarization, enterprise knowledge assistants, RAG applications, and AI Agent prototypes.
• Develop and optimize prompts for business and enterprise application use cases.
• Work with structured and unstructured data to build intelligent AI experiences.
• Evaluate AI-generated responses for accuracy, relevance, consistency, and quality.
• Develop AI Agents
• Develop and configure AI Agents for enterprise business scenarios.
• Work with agent workflows involving LLMs, prompts, enterprise information, APIs, tools, and business context.
• Learn and apply Agentic AI concepts to automate or augment enterprise business processes.
• Support experimentation and Proofs of Concept involving AI Agents and emerging AI technologies.
• Work with Oracle Fusion AI
• Learn and work with AI capabilities available within the Oracle Fusion Applications ecosystem.
• Collaborate with Oracle functional and technical teams to identify opportunities for AI-enabled business processes.
• Support the development and adoption of AI solutions across relevant Oracle Fusion application areas.
• Explore opportunities for incorporating AI-driven experiences into enterprise application workflows.
• Knowledge or exposure to Oracle Fusion AI frameworks and Oracle Agentic AI will be an added advantage.
• Enable AI for Oracle E-Business Suite
• Work with enterprise application teams to identify opportunities for applying AI to Oracle E-Business Suite (EBS) use cases.
• Develop AI-powered knowledge assistants, search, Q&A, summarization, and conversational experiences around enterprise application processes.
• Support AI integrations with EBS data and application services under the guidance of senior engineers.
• Develop an understanding of Oracle EBS business processes and identify opportunities where AI can enhance user productivity and experience.

Requirements & Tech Stack

• Required Skills
• Strong programming fundamentals in Python.
• Good understanding of Artificial Intelligence and Machine Learning fundamentals.
• Understanding of Generative AI and Large Language Models.
• Basic understanding of Natural Language Processing (NLP).
• Understanding of prompt engineering concepts.
• Exposure to LLM-based application development.
• Basic understanding of AI Agents / Agentic AI concepts.
• Working knowledge of SQL and data processing.
• Understanding of APIs, preferably REST APIs.
• Ability to work with structured and unstructured data.
• Strong analytical and problem-solving skills.
• Strong learning agility and interest in emerging AI technologies.
• Preferred Skills
• Exposure to one or more of the following would be beneficial:
• LangChain or similar LLM development frameworks.
• Retrieval-Augmented Generation (RAG).
• Embeddings, semantic search, or vector search.
• AI Agent development.
• Prompt engineering.
• Tool/function calling concepts.
• REST API integration.
• GPT or comparable LLM technologies.
• Cloud-based AI platforms.
• Jupyter Notebook.
• Git or similar source-control tools.
• Added Advantage
• Exposure to any of the following will be considered an advantage:
• Oracle Fusion AI framework / AI capabilities.
• Oracle Agentic AI.
• Oracle Fusion Applications.
• Oracle E-Business Suite.
• Oracle Cloud / AI technologies.
• Oracle application APIs and integrations.
• Understanding of ERP, HCM, SCM, Finance, or other enterprise business processes.

Qualifications

• Hands-On AI Experience
• We value practical experience. Candidates should preferably be able to demonstrate or explain at least one AI project, academic project, internship assignment, or personal prototype involving areas such as:
• LLM-based Q&A bot.
• RAG application.
• Document summarization.
• Conversational AI assistant.
• Enterprise knowledge assistant.
• NLP application.
• AI Agent prototype.