Vacancy description
India, Hyderabad
Qentelli - Lead AI Engineer - LLM/RAG in Hyderabad, India is listed on Jobeax. Browse 30,000+ vacancies available.
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 safe AI https://jobeax.com/link/BUuD4rSLiGGi37Y6 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 fast-evolving GenAI/LLM landscape and evaluate new tools, models, and techniques for https://jobeax.com/link/CfQ7Y0jA6ByZBBtl 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, with production experience in ML/AI systems.- Hands-on experience building LLM applications : chatbots, RAG systems, or generative AI products in production.- Practical experience with RAG components : chunking strategies, embedding models, vector databases, retrieval and re-ranking.- Experience with LLM orchestration frameworks : LangChain, LlamaIndex, Semantic Kernel, or similar.- Experience working with LLM APIs and platforms (OpenAI, Anthropic Claude, Google Gemini) and/or hosting open-source LLMs (Llama, Mistral, Falcon).- Familiarity with fine-tuning techniques (LoRA, QLoRA, PEFT, RLHF) and when to apply them vs. prompting/RAG.- Experience with vector databases and semantic search (Pinecone, Weaviate, Milvus, FAISS, pgvector).- Solid understanding of MLOps/LLMOps practices : model versioning, monitoring, A/B testing, CI/CD for ML.- Experience with cloud AI platforms (AWS Bedrock/SageMaker, GCP Vertex AI, Azure OpenAI).- Strong grasp of evaluation methodologies for generative AI (hallucination rate, groundedness, relevance, latency/cost trade-offs).- Understanding of AI safety and responsible AI practices guardrails, bias mitigation, prompt injection defense.- Experience mentoring engineers, driving architecture decisions, and leading technical roadmaps. (ref:hirist.tech)
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