Senior AI Engineer (LLM Agents, RAG & Automation)

Posted 1 hour ago

Worldwide

Summary

We're an Australia-based software company building production-grade AI solutions, including AI agents, RAG systems, internal copilots, and intelligent workflow automation. We're looking for a Senior AI Engineer to join our growing team and help deliver cutting-edge AI products for clients across multiple industries. What You'll Do Design and build multi-agent AI systems using LangGraph or similar frameworks Develop RAG pipelines over enterprise knowledge bases and internal documentation Implement long-term memory and context management for AI agents Integrate third-party tools, APIs, and automate complex business workflows Take AI solutions from prototype to production with a focus on scalability, reliability, and performance Requirements 5+ years of professional Python development experience Strong production experience with FastAPI Proven experience building and deploying LLM-powered applications used by real customers Hands-on experience with LangGraph, LangChain, vector databases, PostgreSQL, Redis, and Docker Strong communication skills with both technical and non-technical stakeholders Experience deploying AI applications on AWS, Azure, or GCP is a plus Engagement: Hourly, 20–40 hours per week, with the potential for a long-term collaboration. Candidates should have working hours that overlap with Australian business hours.

  • More than 30 hrs/week
    Hourly
  • 3-6 months
    Duration
  • Expert
    Experience Level
  • $30.00

    -

    $60.00

    Hourly
  • Remote Job
  • Complex project
    Project Type

Contract-to-hire opportunity

This lets talent know that this job could become full time.
Learn more
Skills and Expertise
Mandatory skills
ML Automation
AI Agent Development
Activity on this job
  • Proposals:50+
  • Last viewed by client:11 minutes ago
  • Interviewing:
    0
  • Invites sent:
    0
  • Unanswered invites:
    0
About the client
Member since Jun 15, 2024
  • AUS
    Fawkner7:01 AM
  • $1.3K total spent
    8 hires, 0 active
  • 53 hours

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