
Junior AI Developer
BenGen
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
Tech Stack
About the role
- 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
- 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
- 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.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Pythonmachine learningLLM-based applicationsmodel performance analysisprompt engineeringRetrieval-Augmented Generationfine-tuning modelsGPT-4Geminidata science
Soft Skills
problem-solvingcollaborationinnovationcontinuous learningbias for action