Job Description
We are on the precipice of a new era in artificial intelligence, and Aether Dynamics is leading the charge. As we prepare for the pivotal year of 2026, we are seeking a visionary Senior Generative AI Engineer to architect the next generation of Large Language Models (LLMs) and autonomous agents. You will not just be writing code; you will be defining the technical and ethical standards that will shape human-computer interaction for the future.
Why Join Us?
- Impactful Work: Build AI systems that solve complex real-world problems.
- Future-Ready: Work on cutting-edge technologies targeted for the 2026 roadmap.
- Top-Tier Team: Collaborate with PhD researchers and industry veterans.
- Competitive Package: Comprehensive benefits, equity, and remote flexibility.
Responsibilities
- Architect Next-Gen LLMs: Design and implement scalable Large Language Models optimized for the evolving compute landscape of 2026.
- Inference Optimization: Develop high-performance inference pipelines to reduce latency and maximize throughput for real-time applications.
- Research & Development: Lead internal research initiatives into multi-modal AI, Retrieval-Augmented Generation (RAG), and autonomous decision-making agents.
- AI Safety & Alignment: Establish robust safety guardrails and alignment protocols to ensure responsible deployment of Generative AI technologies.
- Technical Leadership: Mentor junior engineers, conduct code reviews, and contribute to the engineering culture at Aether Dynamics.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Mathematics, or a related quantitative field.
- Technical Expertise: Deep experience with deep learning frameworks (PyTorch, TensorFlow, JAX) and transformer architectures.
- Experience: Proven track record of fine-tuning foundation models (e.g., GPT, LLaMA, Claude) and deploying them to production environments.
- Programming: Strong proficiency in Python and C++ for high-performance computing tasks.
- Problem Solving: Ability to tackle ambiguous, high-level challenges and translate them into concrete technical solutions.