AI Engineer

Were hiring an experienced AI Engineer with deep LLM experience to build the next generation of legal intelligence tools. Youll fine-tune models, design RAG pipelines, and build robust evaluation systemsall while shaping product direction in a fast-moving startup., * 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

Artificial Intelligence (AI), Training Data Sets, Analysis Skills, Artificial Intelligence (AI), Seed Funding, Software as a Service (SaaS), Fortune 1000 Customers, Modeling Languages, Legal, Startup, * 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

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 secondsoffering 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.