AllyNd Partners
AllyNds client is a GenAI‑first SaaS company revolutionizing how legal teams interact with contracts. Their platform leverages proprietary datasets and fine‑tuned language models to extract, summarize, and analyze millions of documents in seconds, offering predictive insights and compliance alerts to Fortune 1000 legal teams. The company has secured institutional seed funding and is scaling its AI capabilities with high‑value pilot customers.
Job Description We're hiring an experienced AI Engineer with deep LLM experience to build the next generation of legal intelligence tools. You'll fine‑tune models, design RAG pipelines, and build robust evaluation systems, all while shaping product direction in a fast‑moving startup.
Responsibilities
Fine‑tune and deploy LLMs (e.g., LLaMA, Mistral, Claude) for legal document analysis
Design and implement Retrieval‑Augmented Generation (RAG) pipelines for clause‑based Q&A
Optimize inference workflows for latency, accuracy, and cost‑efficiency
Develop tools for prompt engineering, testing, and prompt versioning
Collaborate with product and legal SMEs to shape AI features and interfaces
Evaluate model performance using relevance, accuracy, and hallucination metrics
Required Skills
7+ years in ML/AI engineering roles, with a focus on NLP or LLMs
Strong experience with model fine‑tuning, RAG architectures, and transformer‑based models
Proficiency in Python and deep learning frameworks (PyTorch, JAX, Hugging Face)
Familiarity with vector databases (Pinecone, Weaviate, FAISS)
Experience deploying LLMs in production with LLMOps or MLOps stacks
Preferred Skills
Background in legal tech, document automation, or compliance tools
Experience with LangChain, LlamaIndex, and prompt chaining frameworks
Understanding of AI ethics and hallucination mitigation strategies
Fully remote setup with flexible hours
Annual learning stipend + GPU compute access
Comprehensive health benefits and wellness perks
Work Authorization Candidates must be authorized to work in the U.S. We cannot sponsor visas now or in the future.
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Job Description We're hiring an experienced AI Engineer with deep LLM experience to build the next generation of legal intelligence tools. You'll fine‑tune models, design RAG pipelines, and build robust evaluation systems, all while shaping product direction in a fast‑moving startup.
Responsibilities
Fine‑tune and deploy LLMs (e.g., LLaMA, Mistral, Claude) for legal document analysis
Design and implement Retrieval‑Augmented Generation (RAG) pipelines for clause‑based Q&A
Optimize inference workflows for latency, accuracy, and cost‑efficiency
Develop tools for prompt engineering, testing, and prompt versioning
Collaborate with product and legal SMEs to shape AI features and interfaces
Evaluate model performance using relevance, accuracy, and hallucination metrics
Required Skills
7+ years in ML/AI engineering roles, with a focus on NLP or LLMs
Strong experience with model fine‑tuning, RAG architectures, and transformer‑based models
Proficiency in Python and deep learning frameworks (PyTorch, JAX, Hugging Face)
Familiarity with vector databases (Pinecone, Weaviate, FAISS)
Experience deploying LLMs in production with LLMOps or MLOps stacks
Preferred Skills
Background in legal tech, document automation, or compliance tools
Experience with LangChain, LlamaIndex, and prompt chaining frameworks
Understanding of AI ethics and hallucination mitigation strategies
Fully remote setup with flexible hours
Annual learning stipend + GPU compute access
Comprehensive health benefits and wellness perks
Work Authorization Candidates must be authorized to work in the U.S. We cannot sponsor visas now or in the future.
#J-18808-Ljbffr