Required:

- Strong Python software engineering experience with hands-on GenAI, AI/ML, or LLM-based application delivery.

- Experience with LangChain, LangGraph, or equivalent agentic AI frameworks.

- Strong understanding of LLM APIs, tool calling, prompt engineering, structured outputs, streaming, and agent orchestration patterns.

- Experience designing RAG solutions using embeddings, vector search, hybrid retrieval, re-ranking, and answer generation.

- Ability to operate as a technical SME with strong communication, consulting, solution design, and stakeholder-facing skills.

- Working knowledge of cloud AI services, APIs, databases, observability, testing, and production deployment practices.

Preferred:

- Experience with network operations, anomaly detection, incident analysis, telecommunications, or enterprise operations use cases preferred.

- AWS, Azure, or Google Cloud AI/ML certification preferred.

- Relevant certification or training in artificial intelligence, machine learning, data engineering, cloud architecture, or software engineering preferred.

- Network, telecom, or operations-focused certifications are a plus.