Description

Experience: 7–15 Years

𝐌𝐮𝐬𝐭-𝐇𝐚𝐯𝐞 𝐒𝐤𝐢𝐥𝐥𝐬
Generative AI (GenAI) and Large Language Models (LLMs).
AI Agent development.
LangChain and LangGraph.
Strong hands-on development experience.
Strong Differentiator
Networking domain experience.
Understanding of BGP, Routing, and VPN concepts.
Experience combining AI and Networking technologies.

𝐀𝐝𝐝𝐢𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐫𝐞𝐟𝐞𝐫𝐫𝐞𝐝 𝐒𝐤𝐢𝐥𝐥𝐬
Vector Search.
ML Model Training and Deployment.
Production Machine Learning experience.
Model Monitoring and Drift Detection.
Key Responsibilities & Expectations
Build and deploy AI agents and GenAI/LLM-based applications.
Develop practical solutions using LangChain and LangGraph.
Take ownership of assigned modules and use cases.
Independently understand objectives, clarify requirements, and deliver solutions.
Review architecture and implementation for technical accuracy.
Validate, improve, and troubleshoot solutions before delivery.
Demonstrate accountability for code, including AI-assisted code.
Maintain strong engineering discipline and avoid unnecessary technical debt.
Networking Knowledge
Practical understanding of networking concepts relevant to the Crosswork domain is important, including:
BGP Fundamentals
Routing
VPN Concepts
Network and Transport Layers
General Networking Architecture
CCNA certification is not mandatory

Key Skills

Education

Any Graduate