Job Description
Are you ready to define the technological landscape of 2026? At Nexus Future Systems, we are building the infrastructure for the next generation of intelligent systems. We are looking for a visionary Senior Generative AI Engineer to lead our R&D efforts in Large Language Models (LLMs), autonomous agents, and next-gen inference engines.
In this pivotal role, you will bridge the gap between cutting-edge research and production-grade deployment. You will be responsible for architecting systems that push the boundaries of what is possible in AI, ensuring our clients stay ahead in a rapidly evolving digital ecosystem.
Why Join Us?
We offer a competitive compensation package, equity opportunities, and the chance to work on projects that will define the industry standard for 2026 and beyond.
Responsibilities
- Architect and deploy scalable LLM pipelines and generative models tailored for enterprise applications.
- Research and implement state-of-the-art techniques in prompt engineering, fine-tuning, and reinforcement learning from human feedback (RLHF).
- Optimize model inference for low latency and high throughput in cloud environments.
- Collaborate with cross-functional teams to integrate AI capabilities into core product features.
- Establish best practices for MLOps, monitoring, and model governance to ensure reliability and safety.
- Stay ahead of industry trends, specifically focusing on Agentic AI workflows and multimodal models for 2026.
Qualifications
- 5+ years of professional experience in machine learning, deep learning, or AI engineering.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Extensive experience with Large Language Models (GPT, Llama, Claude) and transformer architectures.
- Deep understanding of vector databases (Pinecone, Milvus) and RAG (Retrieval-Augmented Generation) architectures.
- Familiarity with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes).
- Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders.