Software Engineer 2, Applied AI

• Work closely with BU heads to design and build AI-native systems powered by LLMs, AI agents, and intelligent workflows
• Rapidly prototype and deploy AI tools and products that automate workflows, enhance internal systems, and unlock AI-driven capabilities
• Build AI agents and autonomous workflows powered by large language models
• Develop systems combining LLMs, APIs, and external tools to automate complex workflows
• Build Retrieval Augmented Generation (RAG) pipelines and knowledge retrieval systems
• Experiment with modern AI orchestration frameworks such as LangChain, LlamaIndex, LangGraph, CrewAI, or similar tools
• Build AI-powered tools improving learning workflows, content generation, and internal productivity
• Prototype and launch AI-first product ideas in collaboration with the founders
• Evaluate and improve AI systems for reliability, response quality, and performance
• Optimize AI workflows for latency, cost efficiency, and scalability
• Stay current with the evolving ecosystem of LLMs, AI agents, and applied AI tooling

• At least 2 - 4 years of experience software development experience/CS degree building production-grade software systems
• Working on building Agentic AI projects or building them recently
• Strong programming experience in Python
• Hands-on experience building LLM-powered applications, AI assistants, or agent-based systems
• Experience with LLM orchestration frameworks such as LangChain, LangGraph, LlamaIndex, AutoGen, CrewAI, or similar tools
• Familiarity with vector databases, embeddings, and Retrieval Augmented Generation (RAG) architectures
• Experience integrating LLMs with external tools, APIs, and structured data sources
• Understanding of prompt engineering, tool calling, and agent orchestration
• Experience building and deploying AI systems from prototype to production, including considerations for reliability, latency, and cost
• Strong understanding of backend systems, APIs, and scalable system design
• Strong builder mindset with the ability to rapidly prototype and iterate on AI-driven systems
• Interest in applying AI to learning systems, knowledge discovery, and productivity tools

• Permanent remote / work-from-home culture
• Opportunity to work on a cutting-edge AI technology stack
• An AI-first approach to solving real-world problems
• Complete ownership and trust from leadership
• Your ideas and concerns are actively heard by the leadership team
• Freedom to experiment, fail, and learn
• Rapid career progression for high performers
• Work with a high-caliber team of engineers and industry experts
• Learn how a fast-growing startup builds and scales.