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Gen AI Engineer Intermediate Analyst

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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 Intermediate Analyst is an intermediate-level professional responsible for designing and implementing complex, scalable AI solutions in coordination with the AI Innovation team. The overall objective is to apply a strong understanding of AI, software architecture, and business processes to build and optimize high-performance AI systems.

Job Responsibility:

  • Design and develop production-ready Generative AI and Agentic solutions, with a strong focus on Agent Architecture selection, memory management, hallucination control, and performance measurement
  • Analyze complex business processes and problems to design and implement technology and analytic solutions at scale, with a focus on performance optimization
  • Develop and maintain robust data and technology pipelines, ensuring they are scalable, efficient, and reliable
  • Implement feedback loops for AI agents using reinforcement learning techniques to continuously improve solution effectiveness
  • Take ownership of the technical design and implementation of AI features and services
  • Adhere to and promote best practices in software development, MLOps, and Model Governance
  • Mentor junior engineers and provide technical guidance on projects

Requirements:

  • 4-7 years of overall experience
  • Minimum of 2 years of experience in developing production-ready Gen AI based RAG or Agent-based solutions
  • Strong experience in designing Agentic solutions, including Agent Architecture selection, memory management, hallucination control, and measuring solution effectiveness
  • Proven ability to analyze business problems and design scalable technology/analytic solutions
  • Hands-on experience with performance optimization of highly scalable systems
  • Strong proficiency in Python
  • Deep experience with AI/ML frameworks (PyTorch, TensorFlow, LangChain)
  • Extensive experience with cloud platforms (AWS, Azure, GCP), containerization (Kubernetes), and MLOps tools
  • Experience with data pipeline and technology pipeline development
  • Excellent analytical skills
  • Deep understanding of software architecture principles
  • Bachelor's/University degree or equivalent experience in Computer Science, Engineering, or a related quantitative field

Additional Information:

Job Posted:
December 28, 2025

Work Type:
On-site work
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