Job Description
Are you ready to architect the AI of tomorrow?
Nexus Future Systems is looking for a visionary Senior Generative AI Engineer to lead the next evolution of our intelligent platform. As we look toward 2026, we are building the infrastructure for Agentic AI and autonomous decision-making systems.
In this role, you won't just write code; you will define the ethical frameworks and technical standards for the future of human-computer interaction. If you are passionate about Large Language Models (LLMs), fine-tuning, and building scalable AI infrastructure, we want to meet you.
Why Join Us?
We offer top-tier compensation, remote-first flexibility, and the chance to work on projects that will shape the next decade of technology.
Responsibilities
- Architect Next-Gen LLMs: Design, train, and fine-tune large-scale generative models using Transformer architectures to solve complex business problems.
- Optimize Inference Pipelines: Build high-performance, low-latency systems for deploying AI models in production environments with a focus on cost-efficiency.
- Agentic AI Development: Develop autonomous agents capable of multi-step reasoning, tool usage, and real-time environment interaction.
- Ethical AI Oversight: Implement robust guardrails and safety protocols to ensure AI outputs are fair, unbiased, and compliant with emerging regulations.
- Collaborate with Research: Partner with data scientists and researchers to bridge the gap between theoretical models and practical engineering applications.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related field. (Bachelor’s with 5+ years of experience considered).
- Expertise in Python and Deep Learning frameworks such as PyTorch or TensorFlow.
- Proven experience working with Large Language Models (GPT, Claude, Llama, etc.) and RAG (Retrieval-Augmented Generation) architectures.
- Experience with MLOps tools (Docker, Kubernetes, MLflow, or Ray).
- Strong mathematical foundation in Linear Algebra, Calculus, and Probability Statistics.
- Excellent communication skills to translate complex technical concepts for diverse stakeholders.