
Associate AI Engineer
Staples India
This job at a glance
- Who can apply
- Freshers and up to 2 years
- Must know
- PythonREST APIsMachine learningNLPSQLGit
- Nice to have
- LLMs
- Work
- On-site in Chennai
- Pay
- Not stated by the employer.
- Skill demand
- Python66%Machine learning58%REST APIs57%NLP18%of 99 similar fresher jobs posted in India this week
- Listed
- 3 Nov 2026 · still open
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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. 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.
Key Responsibilities
- Design, develop, test, and enhance AI and Generative AI solutions for enterprise use cases.
- Build solutions such as LLM-based QA 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 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.
- 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.
- 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, QA, summarization, and conversational experiences around enterprise application processes.
- Support AI integrations with EBS data and application services.
- 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 (LLMs)
- 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 (EBS)
- 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
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 QA bot
- RAG application
- Document summarization
- Conversational AI assistant
- Enterprise knowledge assistant
- NLP application
- AI Agent prototype