[Hiring] UI Path + Azure AI Engineers @Tiger Analytics Inc.

Role Description

The AI Engineer drives the on-site deployment, integration, and scaling of our enterprise Generative AI solutions. This role embeds directly within customer engineering teams to operationalize Large Language Models (LLMs) and retrieval systems across Azure as cloud. You will bridge the gap between AI research and production-grade cloud infrastructure.

You will collaborate with cross-functional teams and business partners and will have the opportunity to drive current and future strategy by leveraging your analytical skills as you ensure business value and communicate the results.

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.

Requirements

• Proven track record of producing clear, precise, and structured requirement documents (PDD, SDD, User Stories).
• Working understanding of the UiPath ecosystem (Studio, Orchestrator, Document Understanding, Action Center).
• Familiarity with Azure AI concepts.
• Strong grasp of software automation principles, API integrations, software development lifecycle (SDLC) methodologies (Agile/Scrum), and system architecture basics.
• Proficiency in process mapping tools (e.g., Microsoft Visio, Lucidchart, Signavio, or Bizagi).

Benefits

• Significant career development opportunities exist as the company grows.
• Unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.