Job Description
We are seeking a visionary Senior AI Research Engineer to join our elite team at FutureCore Systems. As we prepare for the technological leap in 2026, we need experts who can bridge the gap between theoretical research and scalable production systems.
In this role, you will spearhead the development of next-generation artificial intelligence models, focusing on Large Language Models (LLMs) and autonomous agents. You will work in a fast-paced, collaborative environment that rewards innovation, technical excellence, and strategic thinking.
At FutureCore, we are building the infrastructure for tomorrow. If you are passionate about pushing the boundaries of what is possible with AI, we want to hear from you.
Responsibilities
- Lead research initiatives to advance the state-of-the-art in generative AI and machine learning algorithms.
- Design, implement, and optimize deep learning models that are robust, scalable, and efficient in production environments.
- Collaborate closely with product managers and software engineers to translate cutting-edge research findings into practical, high-impact applications.
- Write high-quality technical documentation and contribute to the broader AI community through publications and open-source contributions.
- Mentor junior researchers and data scientists, fostering a culture of continuous learning and technical excellence.
- Stay abreast of the latest trends in AI to ensure our technology remains at the cutting edge of the industry.
Qualifications
- Ph.D. or Master’s degree in Computer Science, Mathematics, or a related field, with a focus on AI/ML.
- Minimum of 5 years of experience in machine learning research or a related engineering role.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of statistical learning, natural language processing, and deep neural networks.
- Experience deploying models in production environments using cloud infrastructure (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work independently in a fast-paced, dynamic environment.