Patch My PC is a company dedicated to improving lives through automation and management solutions for IT and Security teams. They are seeking a Software Engineer, AI to join their emerging technology team, focusing on developing AI solutions and collaborating across engineering teams to enhance customer experiences.
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