AI Architect (LangChain Ecosystem) - Remote

What We’re About

At CentralSquare, we don’t just build software - we power public servants and uplift communities with Hero-Grade Technology. Every line of code, every feature we deliver helps heroes across North America protect, serve, and save lives. When you join us, you become part of a mission-driven team creating technology that makes communities safer and stronger.

Your Growth Matters. We believe heroes deserve opportunities to rise. That’s why we invest in your career with mentorship, learning programs, and clear paths for advancement. If you’re motivated, there’s no limit to how far you can go.

Your Commitment Deserves Reward. We offer competitive compensation and a benefits package designed to support your life inside and outside of work—tuition reimbursement, parental leave, paid volunteer hours, and unlimited PTO. Plus, our flexible work environment gives you the freedom to balance your heroic work with personal well-being, whether you’re in the office or remote.

Join us and help build the tools that power real-life heroes. Together, we make a difference.

The Opportunity

We're looking for an AI Architect II to lead the design and delivery of intelligent systems built on modern LLM tooling. You will own the architecture of retrieval-augmented, agent-based, and graph-enhanced AI applications — from proof-of-concept through production — and serve as a technical authority across our AI infrastructure. This role sits at the intersection of applied research and platform engineering, requiring deep fluency with the LangChain ecosystem, emerging Model Context Protocol (MCP) standards, and scalable Python/TypeScript service design.

Core Responsibilities:

• Define and govern MCP server contracts, tool manifests, and inter-agent messaging patterns across multi-agent workflows built on LangChain/LangGraph.
• Architect end-to-end RAG and GraphRAG pipelines — from embedding strategy, vector store selection, and graph construction through retrieval orchestration and context-window management
• Design system-level architecture for AI applications, including prompt lifecycle management, evaluation harnesses, observability hooks, and guardrail layers.
• Lead technical design reviews, establish AI engineering best practices, and mentor mid-level engineers on LLM application patterns.
• Partner with product and data teams to translate business problems into retrieval and reasoning strategies; prototype rapidly and document architectural decisions.
• Build and maintain Python and TypeScript SDK layers, agent tooling, and shared libraries consumed by application teams.
• Drive evaluation frameworks — RAGAS, LangSmith tracing, and custom evals — to measure retrieval quality, hallucination rates, and task completion.
• Stay current with frontier model capabilities, contribute to model selection criteria, and surface architecture changes required by new API or context-window evolutions.

Requirements:

• Bachelors or Masters (preferred) in Computer Science, or similar, or equivalent experience
• 1-2 years of relevant work experience with Gen AI
• 4-5 years of architecture experience, particularly with RAG and GraphRAG pipelines
• Strong skillset in designing system level architecture for AI applications
• Expert knowledge of LangChain ecosystems
• Expert knowledge of Python and TypeScript
• Bonus points for Public Sector experience