Junior AI Developer

BenGen

Junior AI Developer at BenGen responsible for driving innovation in AI-centric projects. Collaborating with teams to build machine learning models and solve real-world problems.

Posted 4/17/2026full-timeRemote • 🇺🇸 United StatesJuniorWebsite

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Drive Innovation: Take ownership of AI-centric projects from conceptualization to deployment, helping BenGen stay ahead of the curve.
Build & Experiment: Develop, test, and refine machine learning models and LLM-based applications using the latest frameworks.
Collaborate Across Teams: Work closely with product and engineering leads to integrate AI features into our core offerings.
Optimize & Scale: Analyze model performance and help scale AI solutions to reach our global user base.
Continuous Learning: Stay on top of the rapidly evolving AI landscape, bringing new tools and methodologies to the BenGen toolkit.

Requirements

What you’ll need

Recent Academic Background: A Bachelor’s or Master’s degree in Computer Science, Data Science, AI, or a related technical field.
Core Technical Skills: Proficiency in Python and experience with libraries like PyTorch, TensorFlow, or JAX.
LLM Curiosity: Familiarity with prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning models like GPT-4 or Gemini.
Problem-Solving Mindset: You don't just see bugs; you see puzzles that need an elegant solution.
Bias for Action: You enjoy a fast-paced environment and prefer "shipping" over over-analyzing.

Benefits

Comp & perks

High-Impact Work: Your projects won't sit on a shelf; they will drive the future of our company.
Mentorship: Work directly with senior leaders who are invested in your career trajectory.
Flexibility: A modern work environment that values output over hours spent at a desk.
Modern Stack: Access to the latest GPUs and AI development tools to bring your ideas to life.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Pythonmachine learningLLM-based applicationsmodel performance analysisprompt engineeringRetrieval-Augmented Generationfine-tuning modelsGPT-4Geminidata science

Soft Skills

problem-solvingcollaborationinnovationcontinuous learningbias for action