LLM Research Specialist

## Full Description

🚀 We're Hiring: LLM Research Specialist at AICube!

Are you passionate about Large Language Models (LLMs) and cutting-edge AI research? Do you want to push the boundaries of AI-driven automation and Synthetic Workforce Technology (SynTech)? If so, AICube is looking for an LLM Research Specialist to help us shape the future of AI-powered automation!

🔍 Role: LLM Research Specialist

As an LLM Research Specialist at AICube, you will be responsible for researching, fine-tuning, and optimizing Large Language Models to enhance Qube, our AI-powered autonomous agent that interacts with software like a human. Your work will directly contribute to improving AI reasoning, execution accuracy, and automation efficiency.

🛠 Key Responsibilities

✅ LLM Fine-Tuning & Optimization – Train and optimize state-of-the-art language models (GPT, Claude, Qwen, Llama, Mixtral) for task execution, decision-making, and multi-step automation.

✅ AI Reasoning & Adaptability – Enhance LLM contextual understanding for complex task execution, error handling, and human-like decision-making.

✅ Autonomous Agents Development – Research and implement strategies to improve tool use, multi-modal capabilities, and long-term memory for AI agents.

✅ Reinforcement Learning (RLHF & RLAIF) – Apply reinforcement learning techniques to align LLM behavior with automation efficiency and real-world usability.

✅ Scalability & Performance Optimization – Improve response times, inference efficiency, and deployable models for low-latency AI operations.

✅ Collaboration with Engineering Teams – Work closely with ML engineers, software developers, and AI researchers to integrate LLM advancements into Qube’s automation workflows.

🧠 Required Skills & Technologies

🔹 Machine Learning & NLP

• Experience with LLMs, transformers, and deep learning architectures.

• Strong understanding of self-supervised learning, attention mechanisms, and parameter-efficient fine-tuning (LoRA, QLoRA, etc.).

🔹 LLM Training & Optimization

• Hands-on experience with Hugging Face Transformers, OpenAI API, LangChain, and fine-tuning frameworks.

• Expertise in PyTorch, TensorFlow, JAX, or DeepSpeed.

🔹 Reinforcement Learning & AI Alignment

• Experience with RLHF, PPO, or preference learning to align models with user needs.

• Familiarity with vector databases (FAISS, ChromaDB, Weaviate) and memory-enhanced LLMs.

🔹 Autonomous AI Agent Development

• Knowledge of multi-agent systems (AutoGPT, BabyAGI, CrewAI, AgentOps).

• Familiarity with prompt engineering, function calling, and tool-use APIs (OpenAI, Anthropic, Mistral, etc.).

🔹 Software Development & Cloud

• Proficiency in Python and experience deploying models with API endpoints.

• Familiarity with AWS, Azure, GCP, and AI-accelerated hardware (GPUs, TPUs, Triton).

💡 Why Join AICube?

🌎 Work on cutting-edge AI agent technology that is redefining automation.

🚀 Contribute to Synthetic Workforce Technology (SynTech) and the future of autonomous AI.

🤝 Join a team of world-class AI researchers, engineers, and automation experts.

🔬 Access to state-of-the-art AI infrastructure and LLM development resources.

📍 Remote or Hybrid – Work from anywhere with a flexible schedule!

📩 Apply Now!

Help us build the future of AI-powered automation at AICube!

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