AI ML Engineer

Hi,

Hope you’re doing well, 

Our client is really very eager to fill this position ASAP!!!! If you’re interested, please call me at your earliest convenience. If not available to take up this position, I will be grateful if you could forward this email to your friends who may be interested.

 

Job Title: AI ML Engineer

Location:  Austin, TX 

Duration: 6 to 12 Months

Will have first round of interview through Webex and if required, will schedule in-person interview.

 

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