Requirements and skills

• 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.
• Experience with network operations, anomaly detection, incident analysis, telecommunications, or enterprise operations use cases preferred.
• Working knowledge of cloud AI services, APIs, databases, observability, testing, and production deployment practices.

Preferred Certifications

• 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.