Job Description
We are building the intelligence layer for the next era of technology. As a Senior AI Architect at Nebula Logic, you won't just use existing tools; you will architect the autonomous systems that define the 2026 technology landscape. We are looking for a visionary engineer to lead our Agentic AI initiatives and bridge the gap between theoretical AI research and production-grade applications.
In this role, you will spearhead the development of self-learning agents, optimize large language models for complex decision-making, and set the technical vision for our upcoming roadmap. If you are obsessed with the future of AI and want to work on projects that scale, we want to talk to you.
Responsibilities
- Architect Agentic Systems: Design and implement advanced autonomous agents capable of complex reasoning, planning, and execution without human intervention.
- Model Optimization: Fine-tune and optimize LLMs (Large Language Models) for specific enterprise use cases, focusing on latency, cost-efficiency, and accuracy.
- Technical Leadership: Mentor a team of ML engineers and data scientists, establishing coding standards and architectural best practices for the 2026 tech stack.
- R&D Integration: Evaluate emerging AI paradigms and integrate cutting-edge research into our core product architecture.
- Scalability & Performance: Build robust pipelines that handle massive data throughput while ensuring real-time responsiveness.
- Cross-Functional Collaboration: Partner with product managers and designers to translate complex AI capabilities into intuitive user experiences.
Qualifications
- Experience: 7+ years of experience in software engineering, with at least 4 years specifically in AI/ML architecture.
- Technical Proficiency: Deep expertise in Python, PyTorch, or TensorFlow. Experience with LangChain, LlamaIndex, or similar agent frameworks is required.
- Education: Master’s degree or PhD in Computer Science, Artificial Intelligence, or a related quantitative field.
- Problem Solving: Demonstrated ability to solve complex, unstructured problems using statistical methods and machine learning algorithms.
- System Design: Proven track record of designing scalable, fault-tolerant distributed systems.
- Future-Forward Mindset: A strong passion for the future of technology, specifically the evolution of AI in 2026 and beyond.