Job Description
We are on the precipice of a new era in artificial intelligence. At NexaCore Systems, we are building the foundational infrastructure for the year 2026 and beyond. We are seeking a visionary Agentic AI Architect to lead our 'Project 2026' initiative, designing autonomous systems that redefine the boundaries of machine intelligence.
In this high-impact role, you will not just write code; you will architect the future. You will bridge the gap between theoretical AGI concepts and practical, scalable production systems, ensuring our platforms are robust, safe, and capable of complex reasoning by the 2026 deadline.
Why Join Us?
- Work on the Frontier: Be part of the team building the autonomous agents of tomorrow.
- Premium Compensation: Competitive salary and equity package.
- State-of-the-Art Environment: Access to cutting-edge GPUs and compute clusters.
If you are ready to lead the charge into the next generation of AI, we want to hear from you.
Responsibilities
- Architect Autonomous Workflows: Design and implement sophisticated multi-agent systems capable of independent decision-making and complex task execution.
- Optimize Inference Pipelines: Engineer high-performance systems for Large Language Models (LLMs) to ensure sub-second latency and minimal token costs at scale.
- Define Safety & Alignment: Establish rigorous guardrails and ethical protocols to ensure AI agents operate within defined safety boundaries.
- System Integration: Integrate AI agents with legacy enterprise systems and real-time data streams to create seamless operational experiences.
- R&D Leadership: Conduct research into emerging paradigms in generative AI and autonomous agents to keep NexaCore at the forefront of the industry.
- Code Review & Mentorship: Lead technical discussions, perform rigorous code reviews, and mentor junior engineers on best practices for distributed systems.
Qualifications
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related technical field.
- Experience: 5+ years of professional experience in software engineering, with at least 3 years specifically focused on Machine Learning and AI systems architecture.
- Technical Stack: Deep expertise in Python, Rust, or C++; proficiency with PyTorch or TensorFlow; experience with containerization (Docker, Kubernetes).
- AI Expertise: Proven track record of designing and deploying LLM-based applications or Agentic AI frameworks.
- System Design: Strong understanding of distributed systems, microservices architecture, and high-availability infrastructure.
- Soft Skills: Exceptional problem-solving abilities, excellent communication skills, and a passion for the future of technology.