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AI Engineer

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Citi

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Location:
India , Chennai ▼

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The AI Engineer Associate is a developing professional responsible for designing, building, and deploying Generative AI applications in coordination with the AI Innovation team. The overall objective is to leverage a foundational understanding of full-stack development and AI principles to build and maintain production-grade AI solutions.

Job Responsibility:

  • Develop and deploy production-grade Generative AI applications, with a strong focus on building highly effective prompts, semantic search solutions, and robust RAG/Agentic pipelines
  • Engage in full-stack development, contributing to both the front-end and back-end of AI-powered applications
  • Implement and maintain MLOps pipelines for continuous integration, delivery, and monitoring of AI models
  • Contribute to the end-to-end ML model development lifecycle, including data understanding, feature engineering, algorithm selection, and validation
  • Collaborate with cross-functional teams to translate business requirements into technical solutions
  • Write clean, scalable, and well-documented code, adhering to software development best practices
  • Assist in evaluating and integrating new AI technologies and frameworks to enhance existing solutions

Requirements:

  • 2-4 years of overall experience
  • Minimum of 1.5 years of experience in developing production-grade Gen AI based RAG solutions or Agent-based solutions
  • Proven experience as a full-stack developer, with hands-on experience in building and deploying production-ready applications
  • Strong understanding of the Gen AI development process, including prompt engineering, semantic search, and RAG/Agentic pipeline development
  • Proficiency in Python and experience with relevant frameworks (e.g., Flask, FastAPI, LangChain, Hugging Face)
  • Experience with deep learning frameworks such as PyTorch or TensorFlow
  • Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and containerization technologies (Docker, Kubernetes)
  • Familiarity with MLOps principles and tools (e.g., MLflow, Kubeflow, Sagemaker)
  • Strong problem-solving skills and the ability to work independently on assigned tasks
  • Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field

Additional Information:

Job Posted:
December 28, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
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