ML/LLM Engineer

What We'll Bring:

We are seeking a skilled and innovative Machine Learning / LLM Engineer to join our AI team. This role focuses on building intelligent applications using large language models (LLMs), with hands-on experience in frameworks like LangChain and LangGraph. You will be responsible for designing, fine-tuning, and deploying LLM-powered solutions that drive real business impact.

What You'll Bring:

• Develop and deploy LLM-based applications using frameworks such as LangChain, LangGraph, and Hugging Face Transformers.
• Design modular and scalable agent workflows using LangGraph for complex reasoning and multi-step tasks.
• Implement retrieval-augmented generation (RAG), prompt engineering, and custom tool integrations.
• Fine-tune and optimize LLMs (e.g., GPT, LLaMA, Mistral) for domain-specific use cases.
• Build and maintain ML pipelines for training, evaluation, and deployment using tools like MLflow, Kubeflow, or Vertex AI.
• Integrate models with vector databases (e.g., FAISS, Pinecone, Weaviate) for semantic search and contextual retrieval.
• Collaborate with cross-functional teams to deliver production-ready AI solutions.
• Monitor model performance and continuously improve accuracy, latency, and reliability.

Impact You'll Make:

This is a hybrid position and involves regular performance of job responsibilities virtually as well as in-person at an assigned TU office location for a minimum of two days a week.