Job Description
We are not just building software for today; we are architecting the operating systems for tomorrow. At Nexus Future Labs, we are on a mission to deploy fully autonomous AI agents capable of complex reasoning by 2026.
If you are a visionary engineer who wants to define the next generation of Artificial General Intelligence (AGI) infrastructures, we want to meet you. You will lead the technical strategy for our flagship '2026' roadmap, focusing on self-learning systems, predictive orchestration, and next-generation Large Language Models (LLMs).
Why Join Us?
- Shape the future of autonomous intelligence.
- Work with state-of-the-art hardware and cloud infrastructures.
- Competitive compensation and equity package.
- Flexible remote-first culture with HQ in SF.
Responsibilities
- Architect and implement scalable autonomous agent frameworks designed for the 2026 era.
- Optimize large language model (LLM) inference pipelines for real-time decision making and edge deployment.
- Define the technical roadmap and architectural patterns for our predictive AI suite.
- Collaborate with cross-functional teams to integrate advanced AI into core product lines.
- Conduct rigorous testing of AI safety, alignment, and ethical protocols.
- Mentor junior engineers and foster a culture of innovation and technical excellence.
Qualifications
- Ph.D. or Master’s degree in Computer Science, AI, Robotics, or a related field.
- 5+ years of experience in Machine Learning Engineering or Applied AI.
- Deep expertise in Python, PyTorch, TensorFlow, and distributed systems.
- Proven track record of deploying LLMs to production at scale.
- Familiarity with Reinforcement Learning from Human Feedback (RLHF) and fine-tuning methodologies.
- Strong understanding of cloud architecture (AWS/Azure/GCP) and MLOps practices.