AI Engineer

Job Description:

Build LLM-powered applications with strong prompt engineering skills (few-shot, chain-of-thought, structured outputs).

Develop agentic applications — tool-calling, multi-step workflows, multi-agent orchestration (LangChain, AutoGen, etc.).

Integrate LLM APIs and RAG pipelines (vector DBs, embeddings) into production systems.

Evaluate and iterate on prompts/workflows for quality, cost, and latency.

Translate business use cases into scalable AI solutions, staying current with LLM tooling.

Understanding and working experience of networking domain including L2/L3 concepts

Please provide the TOP skills, and the years of experience that you’ll consider:

Generative AI, LLMs, Prompt Engineering, Agentic AI, LangChain, AutoGen, CrewAI, RAG, Vector Databases, Embeddings, Azure OpenAI, OpenAI APIs, Python, FastAPI, REST APIs, AI Orchestration, Multi-Agent Systems, AI Evaluation, Cost Optimization, SDWAN, L2/L3 Networking, Routing & Switching, Network Automation, Solution Architecture

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