Senior RAG Engineer

MCI Careers • ,

7d • Onsite

About The Position

MCI is a rapidly growing tech-enabled business services company with a significant presence in call centers and international operations. We offer Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across various industries. Our contact centers utilize both on-site and remote agents, employing advanced technologies to improve customer journeys, scalability, and cost-efficiency. MCI is dedicated to providing an environment where professionals can build careers, access continuous learning, and contribute to a leading global organization. We are looking for a Senior RAG Engineer to lead the design and optimization of Retrieval-Augmented Generation platforms for enterprise AI solutions. This role demands expertise in semantic search, vector databases, information retrieval, and Generative AI. The successful candidate will provide technical leadership, ensuring knowledge retrieval systems are accurate, scalable, secure, and aligned with business objectives. Applicants must complete a full application on our company careers page, including screening questions and a pre-employment test.

Requirements

• Bachelor's Degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Software Engineering, or related field.
• Minimum 5 years of software engineering experience.
• Experience designing and implementing enterprise-scale Retrieval-Augmented Generation solutions.
• Strong proficiency in Python and backend development.
• Extensive knowledge of embeddings, semantic search, vector databases, and information retrieval techniques.
• Experience building scalable retrieval, indexing, and knowledge management systems.
• Experience integrating RAG architectures with Large Language Models.
• Knowledge of cloud infrastructure and distributed computing environments.
• Experience leading technical projects and mentoring engineering teams.
• Strong troubleshooting and performance optimization skills.
• Excellent communication and stakeholder management capabilities.
• Experience working within complex enterprise technology environments.

Nice To Haves

• Experience with Pinecone, Weaviate, Chroma, Milvus, or equivalent platforms.
• Experience with LangChain, LlamaIndex, Haystack, or related frameworks.
• Knowledge of enterprise search and knowledge management solutions.
• Experience with MLOps and AI deployment pipelines.
• Cloud certifications in AWS, Azure, or GCP.
• Knowledge of AI governance, security, and compliance frameworks.
• Master's Degree in Computer Science, Artificial Intelligence, or related discipline.
• Experience supporting enterprise AI transformation programs.

Responsibilities

• Lead the development of enterprise-grade retrieval and knowledge systems.
• Design scalable Retrieval-Augmented Generation architectures.
• Develop enterprise knowledge ingestion and indexing frameworks.
• Establish retrieval standards and best practices.
• Architect solutions that support AI-powered knowledge access.
• Drive improvements in retrieval quality and performance.
• Optimize vector search and semantic retrieval capabilities.
• Improve relevance, accuracy, and response quality.
• Design evaluation methodologies and testing frameworks.
• Support knowledge lifecycle management processes.
• Enable seamless integration of retrieval systems with AI applications.
• Collaborate with AI engineers and product teams.
• Integrate retrieval systems with LLMs and AI workflows.
• Support enterprise-wide AI initiatives and deployments.
• Develop scalable APIs and retrieval services.
• Maintain operational excellence and regulatory compliance.
• Implement security controls and data governance standards.
• Monitor platform performance and availability.
• Conduct root cause analysis and issue resolution activities.
• Maintain technical documentation and operational procedures.
• Provide technical leadership and support organizational AI growth.
• Mentor engineers and technical teams.
• Evaluate emerging retrieval technologies and frameworks.
• Recommend enhancements to platform architecture.
• Contribute to AI strategy and innovation initiatives.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior