AI Engineer

Job Summary

We are looking for a motivated and skilled AI Engineer with 2–3 years of hands-on experience in developing and applying AI/ML
solutions to real-world business problems. The ideal candidate will have strong
expertise in machine learning, deep learning, and generative AI technologies,
along with practical experience in building prototypes, PoCs, and
production-ready AI systems.

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.