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AI / Machine LearningOnsite

Generative AI Engineer

TAC Security - Company

Chandigarh, India, ๐Ÿ‡ฎ๐Ÿ‡ณ IndiaFull-time - Mid level (2-4 years)0 applicantsCloses Jun 21, 2026

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Job description

Job details

  • Location: Chandigarh, India
  • Work mode: Onsite
  • Employment type: Full-time (Not an internship)
  • Salary: Salary details are available in the employer description.

Role overview

TAC Security is hiring a Generative AI Engineer in Chandigarh, India to develop and deploy machine learning models and LLM-powered applications. This is a full-time, onsite position focused on building production-ready AI solutions using both proprietary and open-source large language models. The role requires hands-on experience with deep learning, prompt engineering, and model optimization.

Job details

Location: Chandigarh, India (Onsite)
Employment type: Full-time
Salary: Details available in employer description

You will work on supervised and unsupervised learning projects, fine-tune LLMs like OpenAI, LLaMA, and Mistral, and deploy scalable AI systems in production environments. This role suits engineers passionate about generative AI and practical machine learning applications.

Responsibilities

  • Develop and implement machine learning and deep learning models for production use cases
  • Build applications using LLMs including OpenAI, LLaMA, and Mistral models
  • Design and optimize prompt engineering strategies for generative AI systems
  • Train, fine-tune, and deploy ML models in production environments
  • Work with supervised and unsupervised learning techniques and model evaluation

Requirements

  • 2-4 years of experience in machine learning and AI development
  • Strong proficiency in Python and ML frameworks like TensorFlow or PyTorch
  • Hands-on experience with large language models and generative AI
  • Knowledge of prompt engineering and LLM fine-tuning techniques
  • Experience deploying and optimizing models in production environments

Benefits

  • Work on cutting-edge generative AI projects
  • Collaborate with experienced AI/ML team
  • Opportunity to work with latest LLM technologies

Keywords

Generative AILLMMachine LearningDeep LearningPythonOpenAIPrompt EngineeringModel Training