Senior Engineer 2, AI Agentic Solutions

What you'll do

• Design and build end-to-end agentic solutions including orchestration, tool-use pipelines, and enterprise system integrations.
• Apply context engineering to manage token economics, latency, and decision quality across RAG patterns and dynamic prompts.
• Develop and own evaluation frameworks and safety guardrails using offline benchmarks and online production telemetry.
• Architect memory and state management approaches for long-term conversation state and multi-session reasoning.
• Integrate LLM APIs, embedding models, and vector stores into production services using agentic frameworks.
• Lead design and code reviews to maintain high standards for quality, testability, and extensibility.
• Define key metrics and observability patterns to drive accountability for performance, cost, and security.
• Mentor junior engineers and provide technical leadership in cross-functional discussions with business and infrastructure teams.

What we're looking for

• 6+ years of professional software engineering experience designing and delivering complex, scalable distributed systems.
• Hands-on experience with LLMs, foundation model APIs, prompt engineering, RAG architectures, and embedding-based search in production.
• Experience designing, building, and operating AI agents or agentic workflows including tool-use, orchestration, and downstream integration.
• Proficiency in Python and cloud-native development on AWS and/or GCP.
• Experience designing evaluation frameworks and safety guardrails for LLM-based systems.
• Familiarity with agentic frameworks such as Claude Agent SDK, LangGraph, AutoGen, CrewAI, Semantic Kernel, or OpenAI Assistants API.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent practical experience.
• Experience with RESTful services, event-driven architectures, and backend databases (preferred).