Senior AI Platform Engineer LLM & Multi-Agent Systems

Job Title: Senior AI Platform Engineer LLM & Multi-Agent Systems

Location: Austin, TX 78753 (Onsite - Hybrid)

Duration: 12+ months

Job Description:

8+ years of software engineering, with at least 2 years in applied LLM or multi-agent systems in production.
Hands-on experience building multi-agent orchestration systems (LangChain, LangGraph, custom frameworks, or equivalent)
Deep understanding of RAG pipelines - embedding models, vector stores, graph-based retrieval, and grounding strategies
Experience integrating AI systems with enterprise backends (ticketing systems, ITSM tools, CRM, or similar)
Strong Python skills; comfort reasoning about async, event-driven agent workflows.
Demonstrated ability to lead technical delivery across cross-functional teams

Top 3 Required skills:
Multi-agent orchestration systems (LangChain, LangGraph, custom frameworks, or equivalent)
RAG pipelines - embedding models, vector stores, graph-based retrieval, and grounding strategies
AI systems integration with enterprise backends (ticketing systems, ITSM tools, CRM, or similar)

Years of experience in each of the must-have skills:
At least two years experience in applied LLM or multi-agent systems in production, with 8+ years of software engineering

Any Certifications required:
Certification on AI/LLM side & Python would be advantageous.

Any additional information you would like to share about the project specs/nature of work:
Plan and execute expansion of an AI Platform across new support queues. Architect and improve the orchestration layer, agent capabilities (Ticket Handler, Advisor, Router, Knowledge Kiosk), and RAG/knowledge pipeline