Generative AI Engineer: Build AI Apps with LLMs

Emonics LLC; San Antonio (TX); On-site; USD 100,000 - 160,000; Full time

Job summary

Emonics LLC is seeking a Generative AI Engineer to design and build AI-powered applications using Large Language Models, RAG, and AI agents. The role emphasizes hands-on Python development, experimentation with prompts, and robust evaluation of AI outputs.

Ideal candidates will have a CS/engineering/AI background and strong problem-solving skills, with a passion for learning new AI technologies and frameworks. San Antonio, TX-based position with a collaborative cross-functional team.

Qualifications

• Bachelor's degree or equivalent practical experience.
• Strong Python programming skills.
• Familiarity with Git and version control systems.
• Strong problem-solving and analytical skills.
• Willingness to learn new AI technologies and frameworks quickly.

Responsibilities

• Develop and integrate Generative AI applications using LLMs and AI APIs.
• Experiment with prompt engineering, structured outputs, tool calling, and AI agents.
• Write clean, maintainable Python code and ensure tests pass.
• Evaluate LLM responses for accuracy, relevance, reliability, and consistency.
• Debug and improve AI application performance and scalability.
• Stay up to date with new Generative AI tools and best practices.
• Collaborate with product and engineering to translate business needs into AI-powered solutions.

Skills

Python

Problem solving

Analytical skills

Willingness to learn

Education

Bachelor's degree in CS / Engineering / AI/ML or related field

Tools

Git

Job description

Emonics LLC is seeking a Generative AI Engineer to design and build AI-powered applications using Large Language Models, RAG, and AI agents. The role emphasizes hands-on Python development, experimentation with prompts, and robust evaluation of AI outputs.

Ideal candidates will have a CS/engineering/AI background and strong problem-solving skills, with a passion for learning new AI technologies and frameworks. San Antonio, TX-based position with a collaborative cross-functional team.