Technology Architect | Open System | Open System- ALL

Client: Apple

Do you have a pre-identified candidate New sourcing Existing Subcon
: New Sourcing

Max Hourly Pay Rate to the candidate:
: $74/Hr

Do you have a preferred interview schedule:
: This requirement is for an immediate position and needs to be closed before 4th July. CDT working hours will do.

Would you require the candidates to meet you for an in-person interview:
: Will have first round of interview through Webex and if required will schedule in-person interview.

Is Skype/WebEx interview OK:
: Initial round on Webex.

Work Location with ZIP:
: Austin TX 78753

Is remote work an option:

: No. It s Hybrid.

If remote work please indicate how many days are required to be in the office and remote:

: 3 days/ week at Office is mandatory

Chance to be perm:

Performance Expectations:

Technical Hiring Criteria (Must Haves)

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

Project Code: Services for ETS Platforms WWDR Dev Bay