Generative AI Engineer: Build & Tune LLM Apps

Emonics LLC

Edison (NJ)

On-site

USD 90,000 - 130,000

Full time

10 days ago

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Job summary

Emonics LLC in Edison, NJ is seeking a Python-focused AI Software Engineer to develop and integrate Generative AI applications using LLMs and AI APIs. You will experiment with prompt engineering, tool calls, and AI agents, and write clean, well-tested Python code.

Collaborate with product and engineering teams to translate business requirements into AI-powered solutions, evaluate LLM outputs for accuracy, and stay current with evolving AI tools and best practices.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, AI/ML, or related field, or equivalent practical experience.
  • Strong programming fundamentals, preferably in Python.
  • Familiarity with Git and version control.
  • 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, and well-tested Python code.
  • Evaluate LLM responses for accuracy, relevance, reliability, and consistency.
  • Debug and improve AI application performance.
  • Stay up to date with emerging Generative AI tools, frameworks, and best practices.
  • Collaborate with product, engineering, and other teams to convert business requirements into AI-powered solutions.

Skills

Python
Analytical thinking
Team collaboration

Education

Bachelor's degree in CS or related field

Tools

Git

Job description

Emonics LLC in Edison, NJ is seeking a Python-focused AI Software Engineer to develop and integrate Generative AI applications using LLMs and AI APIs. You will experiment with prompt engineering, tool calls, and AI agents, and write clean, well-tested Python code.

Collaborate with product and engineering teams to translate business requirements into AI-powered solutions, evaluate LLM outputs for accuracy, and stay current with evolving AI tools and best practices.

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