Job Summary:

We are seeking a Lead AI Engineer to drive the design, development, and deployment of our conversational AI and generative AI systems, including LLM-powered chatbots, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI applications. This is a hands-on technical leadership role you'll architect production-grade AI systems, guide a team of AI/ML engineers, and work closely with Product and Data Engineering to deliver reliable, scalable, and secure AI experiences.

Key Responsibilities:
Architect and lead development of LLM-based applications, including chatbots, virtual assistants, and copilots.
Design and implement RAG pipelines including chunking strategies, embedding generation, vector search, re-ranking, and prompt construction.
Build and maintain agentic workflows using frameworks such as LangChain, LlamaIndex, or custom orchestration layers.
Design prompt engineering and prompt management systems, including versioning and A/B testing of prompts.
Implement evaluation frameworks for LLM output quality hallucination detection, relevance scoring,



latency, and safety benchmarks.
Build robust MLOps/LLMOps pipelines for model deployment, monitoring, versioning, and rollback (CI/CD for AI systems).
Ensure systems are designed for low latency, scalability, and cost-efficiency in production environments.
Collaborate with Data Engineering to ensure clean, structured data feeds into embeddings and knowledge bases.
Implement guardrails, content moderation, and safety mechanisms to mitigate prompt injection, data leakage, and harmful outputs.
Mentor and provide technical leadership to a team of AI/ML engineers; conduct design and code reviews.
Stay current with the rapid-evolving GenAI/LLM landscape and evaluate recent tools, models, and techniques for adoption.

Required Skills & Qualifications
6+ years of experience in AI/ML engineering, with 2+ years in a lead or senior technical capacity.
Strong programming skills in Python, wi

📌 Ai Engineer Hyderabad
🏢 Qentelli
📍 Hyderabad