Junior AI Engineer — LLMs, NLP & PyTorch

neurohire.ai; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

NeuroHire seeks an entry-level Software AI Engineer to design, develop, and integrate AI-powered software solutions that tackle real-world problems and boost application capabilities.

This role blends software engineering with AI, collaborating with engineers and data scientists to build scalable AI-enabled features and services using modern frameworks, REST APIs, and ML libraries. Remote flexibility may be discussed during the process.

Qualifications

• Master's degree in Computer Science, AI, ML, Software Engineering, or related field.
• 0–1 year of software/AI engineering experience.
• Strong programming fundamentals and object-oriented programming.
• Familiarity with ML frameworks such as TensorFlow or PyTorch.
• REST APIs, backend concepts, and web app fundamentals.
• Basic SQL and data manipulation skills.
• Git and GitHub for version control.

Responsibilities

• Design, develop, test, and maintain AI-powered software features.
• Integrate ML models and AI services into applications.
• Develop and connect REST APIs to models and services.
• Work with TensorFlow, PyTorch, or Scikit-learn libraries.
• Explore AI tech including LLMs, NLP, and vector databases.
• Build AI-powered workflows and automation features.
• Handle structured/unstructured data to support AI models.
• Collaborate with engineers and data scientists to improve performance.
• Debug, test, and troubleshoot AI-enabled software.
• Work with SQL databases for data storage and retrieval.
• Use Git/GitHub for version control and code reviews.
• Stay updated on emerging AI tech and best practices.

Skills

LLMs

NLP

REST APIs

Git & GitHub

OOP

ML concepts

Python/Java/JS

Education

Master's degree in CS/AI/ML/SE

Tools

TensorFlow

PyTorch

Scikit-learn

LangChain

OpenAI APIs

Job description

NeuroHire seeks an entry-level Software AI Engineer to design, develop, and integrate AI-powered software solutions that tackle real-world problems and boost application capabilities.

This role blends software engineering with AI, collaborating with engineers and data scientists to build scalable AI-enabled features and services using modern frameworks, REST APIs, and ML libraries. Remote flexibility may be discussed during the process.