Generative AI Engineer, Entry Level
Emonics LLC
Austin, TXFresher2h agovia LinkedIn
This job at a glance
- Who can apply
- New grads and up to 1 year · Bachelor's degree
- Must know
- LLMsREST APIsPythonMachine learningDeep learningNLP
- Work
- On-site in Austin
- Pay
- Not stated by the employer.
- Skill demand
- Python77%LLMs75%REST APIs55%Machine learning52%of 99 similar entry-level jobs posted in the US this week
- Listed
- Oct 30, 2026 · still open
Sign in free to see which of these skills your resume already shows.
Emonics LLC
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.
Requirements & Tech Stack
- 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.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Artificial Intelligence, or a related field.
- Strong analytical, problem-solving, and communication skills.