Job Description
We are looking for a visionary Senior Generative AI Engineer to join our elite engineering team at FutureScale Tech. As we pioneer the technological landscape of 2026, we are building the next generation of adaptive AI systems. You will be at the forefront of the Generative AI revolution, designing architectures that define the future of human-machine interaction. If you are passionate about Large Language Models (LLMs), Transformers, and the ethical deployment of AI, we want to hear from you.
Why Join Us?
- Impactful Work: Shape the AI systems that will power industries in 2026 and beyond.
- Competitive Package: $200k - $300k base salary, equity, and comprehensive benefits.
- Innovation Hub: Work with state-of-the-art hardware and the latest open-source models.
Responsibilities
- Architect and deploy scalable Generative AI models, focusing on LLM fine-tuning and RAG pipelines.
- Optimize model inference latency and reduce token generation costs for production environments.
- Collaborate with cross-functional teams of researchers and product managers to define AI product roadmaps.
- Implement rigorous evaluation frameworks to measure model performance, fairness, and accuracy.
- Mentor junior engineers and contribute to the technical strategy of the AI lab.
- Stay ahead of the curve by integrating emerging AI paradigms into our core infrastructure.
Qualifications
- Master’s degree or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in software engineering with a focus on AI/ML.
- Deep expertise in Python, PyTorch, and TensorFlow.
- Extensive experience working with transformer architectures and LLMs (e.g., GPT-4, Llama 3, Claude).
- Strong background in MLOps, Docker, Kubernetes, and cloud infrastructure (AWS/GCP).
- Proven track record of shipping production-ready machine learning applications.