Job Description
Join the Future of Work
We are building the operating system for the year 2026. At Nebula Intelligence, we are moving beyond simple chatbots to create autonomous Agentic AI systems that can plan, reason, and execute complex tasks independently.
If you are a technical visionary looking to define the next generation of Artificial Intelligence, we want to talk to you. You will be instrumental in architecting the neural architectures that power our autonomous agents.
Why join us?
- Work on cutting-edge Agentic AI research.
- Competitive compensation and equity package.
- Remote-first culture with opportunities for in-person collaboration.
- Access to top-tier compute resources and the latest hardware.
Are you ready to build the future? Apply today.
Responsibilities
- Architect Autonomous Agents: Design and implement the core logic for multi-agent systems capable of complex reasoning and task execution.
- LLM Optimization: Fine-tune and optimize Large Language Models (LLMs) for specific domain applications to improve accuracy and reduce hallucinations.
- System Evaluation: Build robust evaluation frameworks (RLHF, Red Teaming) to ensure the safety and reliability of AI agents before deployment.
- API Development: Develop scalable APIs to integrate AI agents into enterprise workflows and third-party applications.
- Cross-Functional Collaboration: Partner with product managers and engineers to translate business requirements into technical AI solutions.
- Research Implementation: Stay ahead of the curve by implementing the latest research findings from top AI conferences into production systems.
Qualifications
- Education: Master’s or PhD in Computer Science, Mathematics, or a related field, or equivalent professional experience.
- Experience: 5+ years of experience in Machine Learning, AI, or Software Engineering.
- Technical Skills: Strong proficiency in Python, PyTorch, and TensorFlow.
- Frameworks: Deep understanding of LangChain, LlamaIndex, or similar agent orchestration frameworks.
- Modeling: Experience with fine-tuning models using PEFT, LoRA, or full-parameter methods.
- Problem Solving: Exceptional ability to debug complex distributed systems and optimize performance under latency constraints.