Job Description
We are seeking a Future Systems Engineer to architect the digital solutions that will define the landscape of 2026 and beyond. At Nexus Future Labs, we are building the next generation of Artificial Intelligence and Autonomous Systems. This is a high-impact role where your code will shape the future of human-machine interaction.
If you are passionate about the horizon of technology and possess the technical prowess to turn visionary concepts into reality, we want to hear from you.
Responsibilities
- Architect Scalable AI Infrastructure: Design and implement robust machine learning pipelines capable of handling petabyte-scale data for real-time decision making.
- Lead Model Development: Spearhead the research and deployment of advanced Generative AI models and Large Language Models (LLMs) tailored for 2026 market needs.
- Optimize Edge Computing: Develop algorithms that run efficiently on edge devices, ensuring low-latency performance in distributed environments.
- Cross-Functional Collaboration: Partner with product managers, designers, and data scientists to translate business requirements into technical roadmaps.
- Security & Ethics: Ensure all AI systems adhere to the highest standards of data privacy, algorithmic bias mitigation, and ethical AI practices.
Qualifications
- Education: Bachelor’s degree in Computer Science, Mathematics, or a related technical field; Master’s degree preferred.
- Experience: Minimum 5 years of experience in software engineering, with at least 3 years specifically in AI/ML or Systems Architecture.
- Technical Stack: Proficiency in Python, PyTorch, TensorFlow, or JAX; experience with cloud platforms (AWS, GCP, or Azure).
- System Design: Strong understanding of distributed systems, microservices, and containerization (Docker/Kubernetes).
- Problem Solving: Proven ability to tackle complex, ambiguous problems and deliver innovative solutions under tight deadlines.