Job Summary

The GenAI Specialist will design, prototype and productionize generative-AI solutions for BNIC—natural language query (NLQ), executive chatbots, RAG-driven insight assistants and recommendation engines—applied to telecom data. This role balances prompt engineering, RAG architecture and integration with BNIC analytics platforms while ensuring safety, cost efficiency and business value.

Job Responsibilities*

Prompt Engineering & Evaluation

• Design and iterate prompts and prompt templates for LLM-powered NLQ/chatbot (Thai & English).
  Define and enforce prompt engineering best practices and prompt/evaluation workflows.
  Evaluate LLM outputs for accuracy, hallucination risk, and business appropriateness; implement automated checks.
  Document prompts, evaluation metrics, and runbooks for operations and knowledge transfer.

RAG & Integration

• Build and maintain RAG pipelines (embeddings, vector DBs and retrieval layers) using telecom knowledge sources.
• Integrate GenAI solutions into BNIC dashboards and data services; ensure consistent data formatting and lineage.
  Performance & Optimization
• Optimize model selection and runtime configuration for latency and cost efficiency; implement caching/batching where appropriate.

Governance & Safety

• Establish governance and safety guardrails: PII handling, factuality checks, and usage monitoring.

Collaboration & Use Cases

• Collaborate with Data Engineers, Data Scientists and Product to align GenAI features with BNIC use cases (churn explanations, KPI summaries, “why” root-cause).

Qualifications

•    Bachelor’s or Master’s in Computer Science, Data Science, NLP or related field.
•    3+ years experience with NLP/LLMs and at least 1–2 years in productionizing LLM-based solutions (RAG, embeddings).

•    Strong Python skills and experience with GenAI frameworks and tooling (LangChain, LlamaIndex, or similar).
•    Hands-on experience with vector databases (Pinecone, Weaviate, FAISS) and embedding workflows.
•    Practical knowledge of cloud deployment for GenAI (AWS/GCP/Azure) and cost-control techniques.
•    Ability to map business questions into prompt & retrieval designs; good communication skills for cross-functional work.