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AI Engineer

  • AI Engineer job type Posted on: Oct 28, 2026
  • AI Engineer experience level Q1 Technologies, Inc
  • AI Engineer employment type Louisville, Kentucky
  • AI Engineer employment type Onsite
  • AI Engineer salary Full-time

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Job Title :

AI Engineer

Job Type :

Full-Time

Job Location :

Louisville Kentucky United States

Remote :

No

Jobcon Logo Job Description :

Job Description

Job Description

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.

Jobcon Logo Position Details

Posted:

Oct 28, 2026

Reference Number:

7ecc2956

Employment:

Full-time

City:

Louisville

Job Origin:

ziprecruiter

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Job Description

Job Description

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.

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