AI Engineer

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.