Job Description
We are seeking a visionary Senior AI Engineer to architect the next generation of intelligent systems. At Nexus Future Labs, we are not just building for today; we are engineering the foundational technologies that will define the technological landscape of 2026 and beyond. You will be at the forefront of Generative AI, Large Language Models (LLMs), and autonomous agents, working on projects that have a profound impact on global industries.
Why Join Us?
- Work on cutting-edge AI research and production deployment.
- Competitive compensation and equity packages.
- Flexible remote and hybrid work culture.
- Opportunity to define the roadmap for AI integration in 2026.
Responsibilities
- Model Development: Design, train, and fine-tune state-of-the-art large language models and neural networks using Python and PyTorch.
- System Architecture: Lead the architectural design of scalable machine learning pipelines and MLOps infrastructure.
- Performance Optimization: Optimize model inference speed and accuracy to ensure real-time processing capabilities.
- Research & Innovation: Stay ahead of the curve by exploring emerging AI trends, including multimodal learning and edge AI, to prepare for 2026 standards.
- Cross-functional Collaboration: Partner with product managers and engineers to translate complex AI capabilities into user-friendly applications.
- Ethical AI: Implement guidelines and safeguards to ensure AI systems are fair, transparent, and unbiased.
Qualifications
- Education: Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
- Experience: 5+ years of professional experience in AI/ML engineering, with a strong portfolio of deployed models.
- Technical Skills: Proficiency in Python, PyTorch, TensorFlow, and SQL. Experience with cloud platforms (AWS/GCP) and containerization (Docker/Kubernetes).
- LLM Expertise: Deep understanding of Transformer architectures, RAG (Retrieval-Augmented Generation), and fine-tuning methodologies.
- Problem Solving: Strong analytical skills with a track record of solving complex technical challenges.
- Communication: Excellent ability to communicate technical concepts to non-technical stakeholders.