Software Engineer, AI

Patch My PC is a company dedicated to improving lives through innovative enterprise solutions. They are seeking a passionate Software Engineer, AI to join their emerging technology team, focusing on developing AI solutions and collaborating with various teams to enhance product offerings.

Responsibilities:

• Design and develop generative AI solutions across a rapidly expanding product portfolio
• Develop and deploy AI agents for internal tools and customer-facing applications
• Collaborate with cross-functional teams to integrate AI tech into existing systems
• Educate, inform and support product developers for AI integration and maintenance
• Identify optimum data processing and structure for accurate AI analysis
• Translate requirements into clear engineering deliverables, track progress, and communicate status through stand-ups and stakeholder updates
• Conduct testing, debugging, and performance optimization of AI agent workflows
• Stay up-to-date with the latest research and trends in commercial AI systems

Requirements:

• Bachelor's degree in Computer Science, Artificial Intelligence, or related field (or equivalent experience)
• 5+ years of professional software development with C# and the .NET ecosystem
• Familiarity with an AI agent framework (e.g., LangChain, CrewAI, AutoGPT, MetaGPT)
• Good understanding of Large LLMs (e.g., GPT, Claude, Mistral) and prompt engineering
• Experience with AI libraries (e.g., Transformers, OpenAI API, Hugging Face)
• Experience with GenAI data pre-processing and embedding
• Experience with REST APIs and at least one cloud platform (Azure, AWS, GCP)
• Experience with MongoDB or similar NoSQL databases
• Proficiency with Git workflows, branching strategies, and code review
• Strong problem-solving skills and eagerness to learn in a fast-paced environment
• Knowledge of agent memory, planning, and tool-use strategies
• Azure AI foundry
• Familiarity with containerization (Docker) and CI/CD pipelines
• Contributions to open-source AI projects or personal agent-based experiments