Principal Software Engineer

What you'll do

• Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows.
• Design and implement multi-agent frameworks enabling coordination, delegation, and dynamic task execution.
• Build scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning.
• Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions.
• Develop reusable infrastructure for agent orchestration, tool integration, evaluation, and observability.
• Establish best practices for agent evaluation, guardrails, and human-in-the-loop workflows.
• Ensure reliability, safety, and performance of autonomous systems operating at scale.
• Mentor engineers and provide technical leadership in designing complex distributed AI systems.

What we're looking for

• BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, or a related field (or equivalent experience).
• 15+ years of experience building large-scale distributed systems and cloud-native applications.
• Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures.
• Deep understanding of agentic AI paradigms including planning, memory, tool invocation, and multi-step reasoning.
• Experience with agent frameworks and orchestration tools such as LangChain.
• Hands-on experience deploying applications in Kubernetes environments.
• Strong programming skills across multiple languages and modern software stacks (Python preferred).
• Proven track record leading complex technical initiatives and mentoring high-performing teams.