Description
You will build and optimize AI solutions for internal tools, smart automation, and generative AI systems.
Responsibilities
- Automate workflows, build smart forms, and develop data extraction tools using ML and LLMs.
- Develop generative AI and RAG systems, designing agents leveraging LangChain and Graph RAG.
- Build embedding-based search platforms utilizing vector databases like Chroma or Weaviate.
- Prototype solutions using open-source LLMs and APIs (OpenAI, Cohere, Anthropic, Gemini, Copilot).
- Implement hands-on chatbot, intelligent document processing, and agent-assist tools.
Required Skills
- 2+ years of hands-on experience applying AI to real-world technology solutions.
- Expertise in Machine Learning and Deep Learning using Python, R, Java, TensorFlow, and PyTorch.
- Proficiency in Natural Language Processing (NLP) and fundamental ML algorithms.
- Experience with data preprocessing and feature engineering.
- Familiarity with object-oriented and functional design principles.
- Proficiency with version control systems, specifically Git.
- Experience integrating basic UI elements with front-end frameworks.