AI Engineer

Must Have Technical/Functional Skills

Claude Code and AI-assisted development

· Strong day-to-day experience with Claude Code, including a disciplined workflow: plan before

coding, use CLAUDE.md project memory, implement in small steps with tests, and review the code

it generates.

· Has run parallel workstreams using git worktrees, multiple sessions, subagents with focused

roles (such as tester, reviewer or refactorer), custom slash commands, hooks and MCP

integrations.

· Can deliver deployable progress on several projects in the same day without sitting idle while a

model generates.

Applied AI engineering

· Has built and taken to production RAG systems, with hands-on use of parsing and chunking

libraries (for example Unstructured, Docling, LangChain or LlamaIndex splitters).

· Solid grasp of hybrid search (BM25 plus dense vectors, reciprocal rank fusion) and cross-encoder

reranking.