ML LLM Application Engineer (2+ Years Experience)

TransUnions Job Applicant Privacy Notice

Team Overview

Role Overview And Core Responsibilities

This role is focused on LLM application development agent orchestration and system integration rather than deep ML research or training models from scratch. You will own end to end delivery of LLM driven featuresfrom design and prototyping to deployment monitoring and optimizationworking closely with product platform and data teams.

Responsibilities

• Design build and deploy LLMpowered applications using LangChain LangGraph and related tooling.
• Maintain modular scalable agent workflows for multistep reasoning planning and tool execution.
• Implement and own RAG pipelines including data ingestion chunking strategies embedding workflows and contextual retrieval.
• Develop effective prompting strategies tool calling logic memory handling and guardrails to ensure reliable system behavior.
• Integrate LLM applications with vector databases to enable semantic search and contextual intelligence.
• Own production considerations such as latency cost optimization reliability and observability.
• Collaborate with product platform and data teams to translate business requirements into robust AI solutions.
• Contribute to architectural decisions engineering best practices and reusable patterns for LLMbased systems.

Required Knowledge And Experiences

Required Qualifications

• 2 years of experience building production software with a strong focus on AIpowered or LLMbased applications.
• Strong proficiency in Python for building APIs backend services AI workflows and maintaining ML pipelines and services.
• Solid understanding of machine learning fundamentals including supervised and unsupervised learning model evaluation and feature engineering.
• Handson experience with at least one machine learning framework or library (e.g. scikitlearn PyTorch TensorFlow).
• Handson experience developing LLM applications using frameworks such as LangChain and/or LangGraph.
• Solid understanding of LLM and NLP fundamentals including embeddings transformers vector similarity search and prompt design.
• Practical experience implementing retrievalaugmented generation (RAG) systems.
• Experience integrating vector databases (e.g. FAISS Pinecone Weaviate or similar).
• Experience deploying and operating production systems including Docker REST APIs and CI/CD pipelines.
• Strong problemsolving skills and ability to independently own features while collaborating across teams.

Good to Have

• Experience working with cloud platforms such as AWS Azure or Google Cloud.
• Familiarity with distributed systems async processing or microservice architectures.
• Exposure to MLOps practices including model evaluation experiment tracking monitoring and rollback strategies.
• Experience handling largescale structured and unstructured data.
• Exposure to multimodal LLM applications (text image audio or video).

Familiarity with lightweight model adaptation techniques (e.g. inference optimization prompt tuning LoRA) is a plus.

TransUnion Overview:

At TransUnion we encourage and are committed to creating a real positive impact and shared sense of purpose within our Workforce for Good which empowers our people to grow innovate and contribute to a better future for our communities and customers. We strive to build an environment where our associates are in the drivers seat of their professional development while having access to help along the way. We recognize that success comes when our associates thrive both professionally and personally; thats why we prioritize work/life flexibility and offer resources for our teams across the globe to collaborate and drive excellence.

Be a part of our Workforce for Good youll work with great people pioneering products and cutting-edge technology.

TransUnion Job Title