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AI Engineer

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Onsite

AI Engineer

Kardee

AI Engineer

Skills

SQL QueriesDjangoFlaskPythonData ScienceNumPypandasKerasPyTorchMachine LearningAINLP / Natural Language Processing

2 months ago

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Important information


Contract type:

Permanent

Location:

Chennai, Tamil Nadu, India

Work mode:

Onsite

Published on:

11 August 2026

What they need


AI Engineer Agentic AI, RAG & GenAI

Location: Ambattur, Chennai
Employment Type: Contract 12 Months

Experience: 3+ Years

Notice Period: Immediate Joiners / Short Notice Preferred

About the Role

We are looking for an experienced AI Engineer with strong hands-on expertise in Python, Machine Learning, Generative AI, RAG, and Agentic AI to join our team. The ideal candidate will be responsible for designing, developing, and deploying intelligent AI solutions and scalable ML applications.

Key Responsibilities

  • Design, develop, and deploy AI/ML and Generative AI solutions.
  • Build RAG (Retrieval-Augmented Generation) pipelines and AI-powered applications.
  • Develop Agentic AI / AI Agents and multi-step intelligent workflows.
  • Develop scalable backend services and APIs using Python, Django, and Flask.
  • Build, train, evaluate, and fine-tune machine learning models.
  • Work with NLP, LLMs, embeddings, vector databases, and prompt engineering.
  • Integrate AI/ML models into production applications using REST APIs.
  • Perform data preprocessing, feature engineering, model evaluation, and optimization.
  • Work with SQL, NoSQL, and RDBMS databases.
  • Collaborate with Data Scientists, Software Engineers, and business stakeholders.
  • Deploy, monitor, and maintain AI/ML applications in production.

Required Skills

  • Python 3+ years
  • Machine Learning 3+ years
  • Generative AI / GenAI
  • RAG (Retrieval-Augmented Generation)
  • Agentic AI / AI Agents
  • Django / Flask
  • NLP
  • LLMs
  • REST API development
  • SQL / RDBMS
  • NoSQL databases
  • Data Structures & Algorithms
  • Statistics & Machine Learning fundamentals

ML / AI Frameworks & Libraries

  • PyTorch / Keras
  • Scikit-learn
  • Pandas
  • NumPy
  • NLP libraries/frameworks
  • LLM frameworks and tools
  • Vector databases / semantic search

Qualifications

  • Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, Engineering, or a related field.
  • 3+ years of relevant professional experience in AI/ML/NLP.
  • Strong problem-solving and analytical skills.
  • Good communication and stakeholder collaboration skills.

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