Senior AI Research Engineer
- Conduct applied research on LLM-based reasoning, multi-agent systems and developing frontier bespoke models for automating legal workflows.
- Develop prototypes and experimental models to explore novel AI-driven legal solutions.
- Design and implement retrieval-augmented generation (RAG) pipelines , leveraging embeddings, vector databases, and structured retrieval techniques.
- Optimise LLM inference and fine-tuning using techniques such as LoRA, PEFT, prompt engineering, and caching .
- Integrate multi-modal and external knowledge sources to enhance AI-driven insights.
- Research and implement autonomous agentic AI systems for complex, multi-step legal workflows.
- Stay up to date with the latest advancements in model architectures, alignment and interpretability, and orchestrating complex multi-agent systems.
- Collaborate with engineers to transition experimental models into production-ready systems .
- Strong background in AI research, applied machine learning, and NLP .
- Experience with LLM model adaptation, fine-tuning, and inference optimization .
- Proficiency in Python, Pydantic, FastAPI, and working with LLM APIs (OpenAI, Anthropic, Mistral, etc.) .
- Understanding of retrieval-augmented generation (RAG), vector databases, embeddings, and structured AI retrieval .
- Hands-on experience with LLM-based planning, reasoning, and autonomous task execution .
- Familiarity with self-supervised learning, reinforcement learning, or adaptive AI techniques .
- Ability to translate academic AI research into practical experiments and working prototypes .
- Experience deploying AI models in cloud environments such as AWS/GCP .
- MSc or PhD in AI, ML, Computer Science, or a related field.
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