Job Description
We are seeking a visionary Senior Agentic AI Engineer to lead the development of next-generation autonomous AI agents. Join Nebula AI Labs and help define the architecture of intelligent systems capable of complex decision-making in 2026 and beyond. You will work at the intersection of Large Language Models (LLMs), Reinforcement Learning, and autonomous workflow automation.
Why join us?
- Work on cutting-edge Agentic AI frameworks.
- Competitive equity and remote-first culture.
- Access to the latest compute resources for model training.
Apply your expertise to solve real-world problems with scalable, intelligent agents.
Responsibilities
- Design and implement scalable architectures for autonomous AI agents and multi-agent systems.
- Optimize LLM inference pipelines and fine-tune models for specific agentic tasks.
- Develop robust evaluation frameworks to measure agent reliability and safety.
- Collaborate with product teams to integrate AI agents into complex workflows.
- Research and prototype novel techniques in prompt engineering and tool use.
- Mentor junior engineers and contribute to the technical roadmap.
Qualifications
- 5+ years of experience in software engineering, with at least 2 years in Machine Learning or AI.
- Strong proficiency in Python, PyTorch, or TensorFlow.
- Deep understanding of LLMs (GPT-4, Llama 3, Claude) and RAG architectures.
- Experience with agent orchestration frameworks (LangChain, AutoGen).
- Excellent problem-solving skills and ability to work in a fast-paced, research-driven environment.
- Experience with vector databases (Pinecone, Milvus, Weaviate).