Associate AI Engineer

Staples India

Chennai0–2 yrs28m agovia Naukri

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

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