Job Description
Shape the Future of Intelligence
Nexus Future Systems is at the forefront of the AI revolution, building next-generation Generative AI solutions for global enterprise clients. We are seeking a visionary Senior AI Engineer to join our elite R&D team and architect the cognitive models of tomorrow.
In this pivotal role, you will not just use existing tools; you will push the boundaries of what is possible with Large Language Models (LLMs), multimodal systems, and autonomous agents designed for the year 2026 and beyond.
Why Nexus Future Systems?
- Impactful Work: Build AI systems that solve complex, real-world problems.
- State-of-the-Art Tech: Work with PyTorch, Rust, CUDA, and the latest LLM architectures.
- Flexible Culture: A remote-first environment that values autonomy and innovation.
Responsibilities
- Design and implement scalable Generative AI pipelines using Transformer architectures and modern Deep Learning frameworks.
- Optimize model inference speed and reduce latency for real-time, high-volume applications.
- Research and integrate advanced fine-tuning techniques (LoRA, QLoRA, P-Tuning) for domain-specific adaptation.
- Collaborate with Data Scientists to curate high-quality training datasets and implement Retrieval-Augmented Generation (RAG) strategies.
- Ensure ethical AI practices, including bias mitigation and safety alignment in model outputs.
- Mentor junior engineers and conduct code reviews to maintain high engineering standards.
Qualifications
- Master’s or PhD in Computer Science, Machine Learning, or a related quantitative field.
- 5+ years of professional experience in NLP, Deep Learning, or Generative AI.
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, or JAX.
- Experience with Vector Databases (Pinecone, Milvus, Weaviate) and RAG architectures.
- Strong understanding of distributed systems, cloud infrastructure (AWS/GCP), and containerization (Docker/Kubernetes).
- Proven track record of deploying ML models into production environments.