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# AI Engineer

- **Company:** ALLYND PARTNERS LLC
- **Location:** Chicago, IL, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Training Data, Artificial Intelligence, Software as a Service, Python (Programming Language), Language Modeling, Management of Software Versions, Pinecone, Pytorch, Retrieval-Augmented Generation, Large Language Models, Deep Learning, Llamaindex, Generative AI, HuggingFace, Weaviate, Machine Learning Operations, FAISS, Claude, GPT
- **Published:** November 6, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-chicago-il--7df916b0-1db9-4a89-94df-bf94cf42464d

## About the Role

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

## Description

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