Emonics LLC
Generative AI Engineer - Entry Level
San Diego, Texas, US
Role snapshot
Emonics LLC is hiring a Generative AI Engineer - Entry Level on a full-time basis. This is a role based in San Diego, Texas, US.
- Company
- Emonics LLC
- Location
- San Diego, Texas, US
- Job type
- Full-time
- Posted
- Nov 6, 2026
Who this role suits
The listing does not state a required experience level here. Read the requirements in the description below and apply if they match your background.
How to prepare your application
- Match your résumé to the requirements in the description, using the same wording where it is honest to do so.
- Prepare a short example for each requirement you meet, and be ready to explain any you only partly meet.
- Read what Emonics LLC publishes about its product or team, so you can say clearly why this role and this company.
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About the role
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.