Job Description

The ideal candidate should have a strong foundation in Python, Machine Learning, and Natural Language Processing, along with a keen interest in exploring Generative AI technologies. You will work with our engineering team to develop, integrate, and optimize AI-powered solutions for real-world business problems.

Key Responsibilities

• Develop and implement Generative AI applications using Large Language Models (LLMs).
• Work with LLM APIs such as OpenAI, Google Gemini, and Hugging Face models.
• Design and implement Retrieval-Augmented Generation (RAG) pipelines.
• Experiment with prompt engineering techniques to improve model responses and accuracy.
• Build AI-powered chatbots, virtual assistants, and intelligent automation solutions.
• Work with frameworks such as LangChain and LlamaIndex.
• Integrate vector databases such as FAISS, ChromaDB, or Pinecone.
• Perform testing, evaluation, and optimization of LLM-based applications.
• Collaborate with developers and data science teams to build scalable AI solutions.
• Stay updated with emerging Generative AI technologies, tools, and frameworks.

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
• Strong programming knowledge in Python.
• Basic understanding of Machine Learning, Deep Learning, and NLP concepts.
• Understanding of Large Language Models (LLMs) and Generative AI fundamentals.
• Basic knowledge of Prompt Engineering.
• Understanding of embeddings, vector databases, and semantic search.
• Strong analytical, problem-solving, and communication skills.

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