What You’ll Do

As an AI Engineer at Ameno, you will work on cutting-edge Generative AI products serving millions of global users. Don’t worry if you haven’t mastered every framework yet—we provide direct 1-on-1 mentorship and continuous training to help you level up your AI engineering skills.

Responsibilities

• Train, fine-tune, and evaluate foundation models across GenAI domains (LLMs, Image, Audio, or Video).
• Work closely with senior engineers to design and optimize training/inference pipelines.
• Fine-tune open-source models using techniques such as LoRA, QLoRA, and PEFT (Training provided).
• Optimize models for faster inference, lower GPU usage, and higher throughput.
• Deploy AI models to cloud GPU infrastructure and build scalable REST APIs.
• Benchmark new open-source models and stay updated with the latest AI trends.

Must Have:

• Bachelor’s/Master’s degree in Computer Science, IT, Data Science, or related technical fields.
• 0.5 – 2 years of hands-on experience or strong project portfolio in Machine Learning / Deep Learning / GenAI.
• Strong Python programming skills and solid understanding of Computer Science fundamentals.
• Basic familiarity with PyTorch, Hugging Face, or OpenAI APIs.
• Hands-on experience with AT LEAST ONE domain: LLMs, Image, Audio, OR Video models.
• Strong passion for AI, fast-learning agility, and a strong problem-solving mindset.

Nice to Have:

• Fine-tuning techniques (LoRA, QLoRA, DPO/RLHF).
• Model optimization & deployment (vLLM, TensorRT, ONNX, Docker).
• Cloud/GPU platforms (RunPod, AWS, GCP, Lambda Labs).
• Experience with modern AI-assisted coding tools (Cursor, Claude Code, GitHub Copilot).

What We Offer:

• Fast-track growth: Direct mentorship from top-tier AI Lead/Engineers.
• Real-world impact: Work on AI applications with massive global reach.
• State-of-the-art tech stack: Access to high-performance GPU infrastructure & modern AI dev tools.
• Open, startup culture with competitive compensation & clear career roadmap.