Job Description
We are seeking a visionary Senior AI/ML Engineer to architect the intelligent systems of tomorrow. At Nexus Horizon AI, we are not just building AI; we are defining the roadmap for the industry in 2026 and beyond. Our mission is to develop autonomous, self-evolving agents that redefine human-machine collaboration.
Why Join Us?
- Work on cutting-edge Agentic AI and Multimodal systems.
- Competitive compensation package with equity options.
- Flexible remote-first culture with state-of-the-art equipment.
- Opportunity to shape the future of Generative Intelligence.
If you are passionate about the future of technology and want to lead the charge in 2026, we want to hear from you.
Responsibilities
- Architect Agentic Workflows: Design and implement complex autonomous agent systems capable of planning, reasoning, and executing multi-step tasks with minimal human intervention.
- Model Optimization: Optimize Large Language Models (LLMs) for inference speed and memory efficiency, ensuring low-latency responses in production environments.
- RAG & Vector Systems: Build and maintain advanced Retrieval-Augmented Generation pipelines to enhance model accuracy and context retention.
- MLOps Implementation: Establish robust CI/CD pipelines for model training, deployment, and monitoring using Kubernetes and cloud-native technologies.
- Research & Development: Stay ahead of 2026 trends by researching novel architectures, including reinforcement learning from human feedback (RLHF) and causal inference models.
- Collaboration: Partner with data scientists and product managers to translate technical concepts into scalable business solutions.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related quantitative field.
- Programming: Deep expertise in Python, PyTorch, and TensorFlow; experience with Rust or C++ for high-performance computing is a plus.
- Experience: 5+ years of experience in building production-grade ML systems, specifically with LLMs or Transformers.
- Frameworks: Proficiency in LangChain, LlamaIndex, or similar agent orchestration frameworks.
- Problem Solving: Strong ability to debug complex distributed systems and optimize algorithms for edge devices.
- Communication: Excellent technical writing and presentation skills for stakeholder updates.