M

MCI

Provides BPO call center outsourcing services

Senior RAG Engineer

AI Application EngineeringPosted on Nov 5
Full-timePhilippinesNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Computer Science, Information Systems, Data Science, Artificial Intelligence, Software Engineering, or a related field is required.
  • At least 5 years of software engineering experience is required.
  • Experience designing and implementing enterprise-scale Retrieval-Augmented Generation solutions is required.
  • Strong proficiency in Python and backend development is required.
  • Extensive knowledge of embeddings, semantic search, vector databases, and information retrieval techniques is required.
  • Experience building scalable retrieval, indexing, and knowledge management systems is required.
  • Experience integrating Retrieval-Augmented Generation architectures with Large Language Models is required.
  • Knowledge of cloud infrastructure and distributed computing environments is required.
  • Experience leading technical projects and mentoring engineering teams is required.
  • Strong troubleshooting and performance optimization skills are required.
  • Experience working within complex enterprise technology environments is required.
  • Applicants must be authorized to work in the country where the job is based.
  • Applicants must be willing to submit to a Level II background and/or security investigation with fingerprinting, where applicable.
  • Applicants must be willing to submit to drug screening, where applicable.

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 Large Language Models and AI workflows.
  • Support enterprise-wide AI initiatives and deployments.
  • Develop scalable application programming interfaces 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.

Desired Qualifications

  • 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 Google Cloud Platform.
  • Knowledge of AI governance, security, and compliance frameworks.
  • A Master's degree in Computer Science, Artificial Intelligence, or a related discipline.
  • Experience supporting enterprise AI transformation programs.

About the Company

MCI

Provides BPO call center outsourcing services

MCI provides business process outsourcing and call center services to a wide range of clients in both B2B and B2C markets. The company handles customer interactions and back-office tasks to improve customer experience, boost efficiency, and reduce client costs. With operations in seven countries and a global team of over 5,000 associates, MCI delivers support at scale across multiple languages and industries. Growth comes from organic expansion and acquisitions, assembling a family of firms that offer complementary services under a single umbrella. MCI’s main differentiators are its global reach, long-term client relationships, and focus on measurable outcomes such as higher customer satisfaction and lower operating expenses. The company’s goal is to help clients streamline their customer-facing processes and back-office operations while driving cost savings and revenue improvements.

Company size
1,001-5,000
Company stage
Early VC
Total funding
$4.2M
Headquarters
Iowa City, IA
Founded
2015

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