LLM and RAG Training specialist (Voice Agent integration)

Job Title:

LLM Behavior & RAG Training Specialist (Voice Agent Integration)

Bahria Phase 7 Rawalpindi – Onsite

Overview:

Looking for an engineer skilled in LLM orchestration and adaptive conversational modeling. The role involves RAG-based contextual training, multi-turn dialogue behavior tuning, and prompt-state optimization within a live agent environment

⚙ Core Competencies:

• Expertise in LangChain / LlamaIndex pipelines, vector DB structuring, and retrieval optimization.
• Command over token-level reasoning control, prompt engineering, and system message alignment for personality consistency.
• Practical experience with Vapi or equivalent voice orchestration frameworks.
• Strong understanding of embedding generation, document chunking, and semantic memory persistence.
• Ability to design emotion-conditioned dialogue layers and persona conditioning for human-like response flow.
• Familiar with API-based model adaptation, few-shot reinforcement loops, and real-time conversational evaluation.

Preferred Stack:

Python · OpenAI / Anthropic APIs · LangChain · Pinecone / Weaviate / Chroma · FastAPI · RAG architecture · Vapi / TTS-LLM integration · LLM fine-tuning

Ideal Background:

AI Engineer or NLP Developer with proven experience in LLM customization, RAG retrieval logic, and behavioral response tuning for production-grade conversational systems.

Job Type: Full-time

Pay: Rs120,000.00 - Rs150,000.00 per month

Work Location: In person