Senior AI Engineer — GenAI & Autonomous Agents

Jus Mundi is seeking a Senior AI Engineer to own applied AI systems for international law and arbitration, focusing on search relevance, RAG, autonomous agents, and evaluation. This role involves designing agentic systems, rigorous evaluation, fine-tuning models, and production deployment. The ideal candidate has deep expertise in LLMs, retrieval, agent orchestration, evaluation methodology, and fine-tuning with synthetic data.

• Own retrieval and ranking over a large multilingual legal corpus; design and iterate on RAG pipelines.
• Design and build agentic systems from the ground up, including orchestration loops, tool/function calling, memory, and multi-step reasoning.
• Design and run rigorous evaluations and benchmarks; build regression suites to track model degradation.
• Fine-tune open-source or proprietary models using LoRA/QLoRA and generate synthetic data for training and evaluation.
• Deploy AI features to production, managing latency, cost, and reliability.
• Build shared tooling and patterns (eval infra, retrieval components, agent scaffolding) that speed up other squads.
• Provide technical leadership through code review, RFCs, mentoring, and hiring.

• Proven track record shipping LLM-powered features to production (OpenAI, Anthropic, Mistral, Hugging Face).
• Strong command of retrieval, ranking, and RAG architecture.