Description
Job Title : AI/ML Lead LLM & RAG Systems
About The Role
We are seeking a hands-on AI/ML Lead to architect and build production-grade AI systems leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, and scalable cloud infrastructure. This role combines deep technical expertise with team leadership and strategic ownership of AI initiatives.
Key Responsibilities
AI Architecture & Development :
- Architect and build scalable AI-powered applications.
- Design, implement, and optimize RAG systems for production use.
- Integrate and manage LLM APIs (OpenAI, Claude, and open-source models).
- Define AI system architecture and long-term technical roadmap.
- Ensure system performance, scalability, security, and cost efficiency.
Leadership & Team Management
- Lead, mentor, and grow a team of 25 AI engineers.
- Own sprint planning, task allocation, and technical decision-making.
- Conduct code reviews and enforce engineering best practices.
- Ensure timely and high-quality delivery of AI solutions.
Deployment & Infrastructure
- Oversee deployment and infrastructure management on AWS or Azure.
- Manage containerization and cloud-native environments.
- Optimize systems for reliability and operational excellence.
Technical Requirements
- Strong expertise in Python.
- Proven hands-on experience implementing RAG architectures.
- Experience working with LLM APIs (OpenAI, Claude, open-source models).
- Proficiency in LangChain and/or LlamaIndex.
- Experience with vector databases (Pinecone, Weaviate, FAISS, etc.).
- Strong knowledge of REST APIs and PostgreSQL.
- Experience with Docker and cloud deployment (AWS / Azure).
- Strong system design and architectural skills.
- Prior experience leading technical teams.
Preferred Qualifications
- Experience building AI products in production environments.
- Understanding of AI system cost optimization and monitoring.
- Experience with MLOps best practices.
(ref:hirist.tech)
