Overview
As an AI Engineer specializing in LLM and Agentic Systems, you will focus on designing and implementing AI agents and workflows that leverage large language models to address complex business challenges. Collaborating with engineering teams, you will ensure seamless integration of AI capabilities into products and workflows, aiming for high reliability and real-world applicability. This role demands a hands-on approach in delivering production-grade solutions at scale, making it ideal for those with a proven background in AI and machine learning.
Responsibilities
- Design and build AI agents and agentic workflows using LLMs, RAG, reasoning, and memory.
- Own the delivery process from exploration to production deployment and integration.
- Use MCP-style architectures and frameworks like LangChain/LangGraph to create scalable systems.
- Integrate AI into core products, APIs, and workflows while prioritizing usability and performance.
- Collaborate with engineering teams to ensure systems are maintainable and observable.
Requirements
- Proven experience in deploying LLM-powered systems with real-world applications.
- Hands-on expertise in building AI agents with multi-step reasoning and tool orchestration.
- Strong proficiency in Python and a solid foundation in machine learning principles.
- Experience with cloud deployments on platforms like AWS, GCP, or Azure.
- Educational background in mathematics, science, or computer science at a Master's level or higher.
- Demonstrated ability to drive projects from concept to delivery, with a focus on product impact and user adoption.