Job Description
Are you ready to architect the future of intelligent systems? Nexus Future Labs is seeking a visionary Generative AI Architect to lead the development of next-generation Large Language Models (LLMs) and autonomous AI agents. In this pivotal role, you will not merely utilize existing tools but define the technical trajectory of our AI ecosystem, shaping how humans interact with machine intelligence in 2026 and beyond.
We are looking for a thought leader who thrives in ambiguity and possesses the technical prowess to build robust, scalable, and ethically sound AI solutions. If you are passionate about the intersection of data science, software engineering, and cognitive computing, this is your opportunity to drive the paradigm shift.
Responsibilities
- Architect and deploy scalable Generative AI pipelines using Python, PyTorch, and TensorFlow.
- Design and fine-tune Large Language Models (LLMs) to optimize performance and accuracy for enterprise applications.
- Implement Retrieval-Augmented Generation (RAG) architectures to enhance model knowledge bases.
- Collaborate with cross-functional teams to integrate AI capabilities into real-world products.
- Ensure AI systems adhere to ethical guidelines, data privacy regulations, and safety protocols.
- Conduct research on emerging AI trends to keep the technology stack ahead of the curve.
Qualifications
- Master’s or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Deep expertise in Python, C++, and modern machine learning frameworks (PyTorch, TensorFlow, JAX).
- Extensive experience with NLP, LLMs (GPT, BERT, Llama), and prompt engineering strategies.
- Proven track record of deploying high-impact AI solutions in production environments.
- Strong understanding of MLOps, cloud infrastructure (AWS/Azure/GCP), and containerization (Docker/K8s).
- Excellent problem-solving skills and ability to communicate complex technical concepts to non-technical stakeholders.