Job Description
We are seeking a visionary Senior Generative AI Engineer to lead our initiatives into 2026 and beyond. As we push the boundaries of artificial intelligence, you will be at the forefront of developing next-generation models that redefine human-machine interaction. If you are passionate about Large Language Models (LLMs), Computer Vision, and scalable AI architectures, this is your opportunity to shape the future of technology.
Why Join Us?
At Apex Future Technologies, we are not just building tools for today; we are architecting the solutions of tomorrow. You will work in a cutting-edge environment with top-tier talent, focusing on ethical AI, real-time inference optimization, and the seamless integration of AI into consumer products.
Responsibilities
- Architect and deploy scalable Generative AI models (LLMs, Diffusion models) for production environments.
- Optimize model inference speed and reduce latency using advanced techniques like quantization and distillation.
- Design and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model accuracy and relevance.
- Collaborate with cross-functional teams to integrate AI capabilities into scalable software products.
- Establish best practices for data governance, model monitoring, and ethical AI usage.
- Conduct research on novel architectures to stay ahead of the 2026 tech curve.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 5+ years of experience in Machine Learning Engineering, specifically with PyTorch or TensorFlow.
- Deep expertise in Transformer architectures and fine-tuning LLMs (e.g., GPT, Llama, Mistral).
- Strong proficiency in Python, C++, and cloud infrastructure (AWS, GCP, or Azure).
- Experience with MLOps tools (MLflow, Kubeflow) and CI/CD pipelines.
- Demonstrated ability to lead technical projects and mentor junior engineers.