Senior AI Engineer – RAG Systems (Agentic Legal Tech) jobs in United States
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Montpellier Resourcing · 9 hours ago

Senior AI Engineer – RAG Systems (Agentic Legal Tech)

Montpellier Resourcing is representing a high-growth VC backed Legal Tech disruptor, and they are seeking a Senior AI Engineer specializing in RAG systems. The role involves architecting advanced AI systems to enhance the accuracy and security of legal document processing.

Staffing & Recruiting
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Hiring Manager
Myles Barnabas
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Responsibilities

Building the retrieval infrastructure using vector databases (Pinecone/Weaviate) and sophisticated re-ranking models
Developing 'Self-RAG' architectures that cross-check every AI output against a law firm's proprietary 'Truth' library
Fine-tuning embeddings specifically for complex 'legalese' that standard models struggle to interpret
Moving beyond Q&A to build agents that autonomously research, draft, and flag risks

Qualification

RAG systemsPythonML/NLPLangChain/LlamaIndexLLMsData securityEvaluation frameworksFinTech experienceLegal Tech experience

Required

4+ years in ML/NLP, with a 'battle-tested' portfolio of RAG systems deployed in production
Expert-level Python, LangChain/LlamaIndex, and deep knowledge of LLMs (GPT-4o, Claude 3.5, and open-source Llama 3/4)
You treat data security as a first-class citizen
You are obsessed with evaluation frameworks (Ragas, TruLens) to prove your systems are bulletproof
Candidates must have full right to work in the US

Preferred

Prior experience in FinTech, Legal Tech, or high-compliance environments where precision is non-negotiable

Benefits

Top-Tier Equity
Benefits

Company

Montpellier Resourcing

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Montpellier are a leading holistic recruitment firm focusing on: ~ Accountancy ~ Banking ~ Compliance ~ Credit ~ Corporate Actions ~ Financial Services ~ Front Office ~ FX ~ Risk ~ Treasury Our values to ‘deliver unequalled service to Candidates and Clients’ are: ✔️ Excellence - consistently delivering a service of the highest quality whilst continuously striving to exceed expectations.

Funding

Current Stage
Early Stage
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