LLM-Driven Software Engineer I

BDO USA, Llp; Madison (WI); On-site; USD 85,000 - 100,000; Full time

Job summary

BDO USA, LLP is seeking an AI Software Engineer to design, develop, and maintain AI-enabled applications with a focus on integrating large language models into business workflows. You will collaborate with business and technology stakeholders to define requirements, implement tested solutions, and support AI services in production.

The role involves contributing to codebases, documentation, and operational support while following secure engineering practices and standards.

Qualifications

• Two or more years of experience in application development.
• Experience with cloud technologies preferred.
• Experience integrating AI/ML or AI-enabled systems preferred.
• Experience with Microsoft stack (.Net, C#, Azure) preferred.

Responsibilities

• Develops AI-driven applications and integration points.
• Researches and evaluates AI technologies for potential implementation.
• Designs and maintains documentation for AI systems and processes.
• Collaborates with business units to clarify AI solution requirements.
• Coordinates technical efforts related to AI systems issues and optimizations.
• Builds and maintains documentation for internally developed and integrated systems.
• Implement AI features including large language model integrations and prompts.
• Monitors and supports existing AI applications and automations.
• Provides Level IV support on specific applications as needed.
• Participates in code reviews to ensure quality and security.

Skills

Verbal communication

Written communication

Interpersonal skills

Deadline-driven

Multi-tasking

Education

Bachelor's degree in Computer Science or Information Systems

Tools

Microsoft Visual Studio/VS Code

Azure DevOps or GitHub

Azure

SQL Server/Azure SQL

Power BI

Job description

BDO USA, LLP is seeking an AI Software Engineer to design, develop, and maintain AI-enabled applications with a focus on integrating large language models into business workflows. You will collaborate with business and technology stakeholders to define requirements, implement tested solutions, and support AI services in production.

The role involves contributing to codebases, documentation, and operational support while following secure engineering practices and standards.