MSRSgH87rg 8p X2XcM3kZ – Entry Level — Seattle, WA

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.