Full Stack Software Engineer – AI Platform & Applied AI Systems

Chiri

2h•Remote

About The Position

Chiri builds governed AI systems that operate in the real world — not demos, not prototypes, not black boxes. Our platform, Chiri Brain, is a governed AI operating system for humans and agents. It ensures AI systems are transparent, auditable, and secure — from prompt to execution. In addition to our core platform, we design and deploy applied AI systems for clients — AI tools that operate in messy, high-signal, time-sensitive environments. This role spans both.

Requirements

3–6 years of fullstack engineering experience with production ownership
Strong Python backend experience (FastAPI, Django, or similar)
Strong TypeScript frontend experience (React, Vite, or similar)
Experience building and maintaining scraping systems for complex or protected sites
Experience designing data pipelines and normalization workflows
Familiarity with vector databases (PGVector, Pinecone, Weaviate, etc.)
Experience working with embeddings (text and/or image)
Comfort building systems that combine AI inference with deterministic business logic
Strong English communication skills (English C2 for non-native speakers)

Nice To Haves

Experience scraping dynamically rendered sites (e.g., heavily client-side JS frameworks)
Experience working with login-gated or bot-protected environments
Experience building internal analytics or scoring engines
Experience designing real-time or near-real-time systems
Exposure to enterprise governance requirements (RBAC, logging, compliance)

Responsibilities

Build AI control-plane primitives (personas, policies, traceability, execution logs)
Implement auditable inference pipelines
Design workflow orchestration for human + agent collaboration
Develop RAG pipelines with structured retrieval and citation
Support multi-model execution and evaluation frameworks
Build secure backend services (Python) and frontend interfaces (TypeScript)
Design and implement scalable data ingestion pipelines
Build scraping systems for hard-to-scrape, login-gated, or dynamically rendered sites (e.g., social platforms, marketplaces, auction platforms)
Handle rate limits, bot mitigation, anti-automation defenses, and data normalization
Implement image embeddings and similarity search pipelines
Design scoring or valuation logic that combines multiple data inputs
Build internal tools that surface AI reasoning transparently for end users
Work directly with stakeholders to iterate quickly on production systems