Senior AI Engineer — CIFx Platform

About the role

CIFx is our internal Replit-like vibe coding setting for building legal workflow applications that scale across the enterprise. We're building the platform that lets teams compose, deploy, and iterate on compound AI systems against our internal data and services — using a monorepoframework with NextJS on the frontend and NestJS on the backend.

This is a hands-on, IC-heavy role. You'll be taking ambiguous problems, decomposing them into compound systems of agents, retrieval layers, and deterministic services, and shipping them end-to-end. You won't be writing tickets for someone else to implement. You'll be the person who can argue why a particular node in the graph needs Aurora-backed persistence instead of in-memory state, why your retriever needs sparse signals alongside dense embeddings, and why a specific latency budget is non-negotiable.

We care about good engineering principles over specific language fluency. NextJS and NestJSare the stack, but if you've built compound systems well elsewhere,



you'll be productive here within weeks.

What you'll do
- Take legal workflow problems from "vague business ask" to "deployed, observable, evaluated compound system" — owning the decomposition, the architecture, the implementation, and the iteration loop
- Design and build multi-step agentic workflows in LangGraph (or equivalent), with thoughtful state management, human-in-the-loop checkpoints, and durable memory across sessions
- Build and evolve the retrieval layer — choosing dense, sparse, hybrid, or late-interaction strategies based on actual query distribution and document characteristics, not framework defaults
- Own production deployment end-to-end: CI/CD, observability, evaluation harnesses, and the feedback loops that catch regressions before users do
- Drive technical depth across the team — push back on shallow architectures, model the right trade-offs, and raise the bar for what "production-ready AI" me

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