Backend Engineer - AI

Job Description

Responsibilities Data ingestion pipelines: Parse and structure session data from IDE logs and developer tools. LLM-powered extraction: Build systems that extract structured knowledge from unstructured debugging sessions. Hybrid search infrastructure: Vector + metadata retrieval engines that surface relevant context with high precision. MCP server and API layer: Tools that AI assistants integrate with during development workflows. Integration systems: Connect external data sources (GitHub, Google Docs, etc. ) into our knowledge graph. Requirements 2+ years of software engineering experience at a top-tier software company. Strong backend engineering fundamentals've built APIs, designed databases, and debugged production systems. Experience with Python or Go in production environments. Comfort with ambiguity, you can take vague requirements and turn them into working systems. Strong written and verbal communication in English (async-first remote team). Tech stack: Python, TypeScript, Vector DBs, LLMs (Claude/GPT), PostgreSQL, Next.js . Bonus Points Experience with vector databases or semantic search systems. Familiarity with LLM APIs and prompt engineering. Understanding of developer tools, IDEs, or CI/CD workflows. Open source contributions or side projects that demonstrate craft. This job was posted by Aaron Yang from Dexicon.