Back to jobs

Custom AI Agent with RAG for Internal Knowledge Base (Python)

Search - AI Chatbot · local_filter_skipped · UID ~022077249176824380225

Open Job

Job Details

Budget Unknown
ExperienceEntry
DurationUnknown
Weekly hoursUnknown
Client countryUnknown
ProposalsUnknown
InterviewingUnknown
Invites sentUnknown
First seenWed, Jul 15, 2026 11:00 AM
Last seenWed, Jul 15, 2026 3:27 PM

Description

We're a mid-size logistics company looking for an experienced AI engineer to build a custom AI agent that can answer employee questions using our internal documents (SOPs, policy manuals, and training guides). The agent should use a RAG (Retrieval-Augmented Generation) setup, pull answers from our document store, and give clear, accurate responses through a simple chat interface. Must be built in Python, and should integrate with our existing Postgres database. Experience with vector databases (like pgvector or Pinecone) and LLM APIs (OpenAI or Claude) is required.

Skills

Artificial Intelligence Python API React

Notification History

ChannelTypeStatusSentError
No notifications.

User Actions

ActionActed at
No actions.