Job Description
Are you ready to architect the intelligence of tomorrow?
At Nexus Future Systems, we are pioneering the next generation of autonomous agents and multimodal generative AI. As we expand into 2026, we are seeking a visionary Senior AI Engineer to lead our research and deployment efforts. You will be at the forefront of building systems that redefine human-machine interaction, working with state-of-the-art Large Language Models (LLMs) and computer vision architectures.
Why Join Us?
- Work with the most advanced AI infrastructure in the industry.
- Competitive equity package and top-tier compensation.
- Remote-first culture with flexibility.
If you are passionate about the future of AI and want to solve complex problems that impact billions, we want to hear from you.
Responsibilities
- Design, train, and fine-tune state-of-the-art Large Language Models (LLMs) for enterprise applications.
- Architect scalable MLOps pipelines for model deployment and monitoring using Kubernetes and Docker.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model accuracy and context.
- Collaborate with product and engineering teams to translate technical requirements into robust AI solutions.
- Conduct rigorous research into novel AI architectures and ethical AI practices.
- Optimize model inference latency and reduce operational costs (TCO).
Qualifications
- PhD or Master’s degree in Computer Science, Mathematics, or a related field.
- 5+ years of professional experience in Machine Learning, Deep Learning, or NLP.
- Expert proficiency in Python, PyTorch, and TensorFlow.
- Strong experience with transformer models and fine-tuning techniques.
- Familiarity with cloud platforms (AWS, GCP, or Azure) and serverless architectures.
- Demonstrable experience in MLOps, CI/CD, and model versioning (MLflow, DVC).