AI Engineer

Job Title:

Experience:

Location:

Notice Period:

Job Summary

AI Engineer

Key Responsibilities

• Develop and deploy AI-driven solutions for automation, workflow optimization, and intelligent decision-making.
  
• Build and implement generative AI tools leveraging Large Language Models (LLMs).
  
• Design and implement Retrieval-Augmented Generation (RAG) systems and Graph RAG architectures.
  
• Create and optimize agents using LangChain and related frameworks.
  
• Develop embedding-based search solutions with vector databases (e.g., Chroma, Weaviate).
  
• Prototype AI applications using open-source LLMs and APIs (e.g., OpenAI, Anthropic, Cohere, Gemini, Copilot).
  
• Work on intelligent document processing, smart form filling, and rule-based automation.
  
• Collaborate on chatbot development and agent-assist tools.
  
• Contribute to internal tools automation, including co-pilots for operations.
  
• Integrate simple user interfaces using Git and lightweight front-end frameworks for AI tools.
  

Required Skills & Experience

• 2+ years of practical experience in AI/ML solution development.
  
• Proficiency in

  Python, R, or Java

  with strong programming fundamentals.
• Expertise in

  machine learning & deep learning frameworks

  such as

  TensorFlow

  and

  PyTorch

  .
• Hands-on knowledge of

  NLP techniques

  and AI model integration.
• Strong understanding of fundamental algorithms, object-oriented and functional design principles.
  
• Skilled in

  data preprocessing, feature engineering, and model evaluation techniques

  .
• Experience with

  version control systems (Git)

  for collaboration and code management.
• Exposure to generative AI, LLMs, and open-source AI ecosystems.