Overview
Full Time
Skills
Privacy
Large Language Models (LLMs)
LangChain
Workflow
Reasoning
Prompt Engineering
Use Cases
Training
Evaluation
Vertex
Vector Databases
Semantic Search
Collaboration
Artificial Intelligence
Machine Learning (ML)
Application Development
Job Details
TransUnion's Job Applicant Privacy Notice
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:
If any ML related certification is added advantage
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.
TransUnion Job Title
Developer, Applications Development
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:
If any ML related certification is added advantage
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.
TransUnion Job Title
Developer, Applications Development
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