Job Description
Shape the Future of Intelligence
We are looking for a visionary Senior Generative AI Architect to lead our team in defining the technological landscape for 2026 and beyond. At Nebula Future Tech, we are not just building software; we are engineering the cognitive infrastructure of tomorrow.
In this role, you will spearhead the development of advanced Large Language Models (LLMs), autonomous agents, and next-generation neural architectures. If you are passionate about pushing the boundaries of AI and want to leave a lasting legacy in the tech industry, this is your opportunity.
Responsibilities
- Architect LLM Systems: Design and implement scalable, production-ready generative AI models and pipelines.
- Optimize Performance: Enhance model inference speed and reduce latency to meet 2026 enterprise standards.
- Agentic AI Development: Build autonomous agents capable of complex decision-making and task execution.
- RAG Strategy: Develop robust Retrieval-Augmented Generation frameworks to ensure factual accuracy.
- Research Integration: Stay at the forefront of AI research (Transformers, Diffusion, Reinforcement Learning) and integrate cutting-edge findings.
- Team Leadership: Mentor junior engineers and data scientists, fostering a culture of innovation and excellence.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related field.
- Experience: 7+ years of experience in software engineering with a focus on Machine Learning and Deep Learning.
- Technical Skills: Proficiency in Python, PyTorch, or TensorFlow.
- Frameworks: Deep understanding of Hugging Face, LangChain, and Vector Databases (Pinecone, Weaviate).
- Cloud Expertise: Strong experience deploying models on AWS, GCP, or Azure.
- Communication: Ability to translate complex technical concepts into business value for stakeholders.