Azure AI & UiPath Engineer — LLM Deployment & Automation

Tiger Analytics Inc.; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Tiger Analytics Inc. seeks an AI Engineer to drive on-site deployment, integration, and scaling of enterprise Generative AI solutions.

You will embed within customer engineering teams to operationalize LLMs and retrieval systems across Azure, bridging AI research and production-grade cloud infrastructure. Collaborate with cross-functional teams to deliver business value, design clear requirement documents, and push advanced analytics initiatives.

Qualifications

• 7+ years of industry experience in software engineering, machine learning, or AI-focused roles.
• Strong hands-on experience with LangGraph and building agentic workflows.
• Proven experience in fine-tuning LLMs, including supervised fine-tuning and reinforcement learning-based methods.
• Strong background in experimental design, model evaluation, and statistical analysis.
• Demonstrated ability to reduce hallucinations using techniques beyond creative prompting.
• Proficiency in Python and experience with modern ML/AI frameworks.

Responsibilities

• Drive on-site deployment, integration, and scaling of enterprise Generative AI solutions.
• Embed within customer engineering teams to operationalize LLMs and retrieval systems across Azure cloud.
• Collaborate with cross-functional teams and business partners to ensure business value and communicate results.

Skills

LangGraph

LLM fine-tuning

Python

ML frameworks

Agile/Scrum

Azure AI

UiPath ecosystem

Process mapping

SDLC

Experiment design

Model evaluation

Hallucination reduction

Tools

UiPath Studio

UiPath Orchestrator

Document Understanding

Signavio

Lucidchart

Visio

Bizagi

Job description

Tiger Analytics Inc. seeks an AI Engineer to drive on-site deployment, integration, and scaling of enterprise Generative AI solutions.

You will embed within customer engineering teams to operationalize LLMs and retrieval systems across Azure, bridging AI research and production-grade cloud infrastructure. Collaborate with cross-functional teams to deliver business value, design clear requirement documents, and push advanced analytics initiatives.