AI/RAG Engineer - Remote

Overview

The AI/RAG Engineer will be responsible for developing AI search agents and building end-to-end retrieval-augmented generation (RAG) pipelines, ensuring optimal performance and accuracy in production environments.

In Short

• Building AI search agents using frameworks like LangGraph and Dify.
• Developing end-to-end RAG pipelines from ingestion to hybrid vector search.
• Operating and monitoring vector/hybrid indexes in production.
• Implementing grounding and citation techniques for AI-generated content.
• Automating evaluation with synthetic QA and model-critique loops.
• Orchestrating external tools and monitoring production scale metrics.
• Collaborating with cross-functional teams on AI system development.
• Ensuring compliance with best practices in AI development.
• Staying updated with the latest advancements in AI and machine learning.
• Contributing to the overall strategy for AI system implementation.

Requirements

• Bachelor’s or Master’s degree in Computer Science or related field.
• 3+ years of experience in AI system development with a focus on RAG.
• Proven experience in building and optimizing RAG pipelines.
• Hands-on experience with OpenSearch or similar technologies.
• Proficiency in Python and machine learning frameworks.
• Strong understanding of data ingestion and hybrid vector search.
• Experience in managing production environments.
• Knowledge of grounding and citation techniques.
• Familiarity with synthetic QA datasets and evaluation metrics.
• Strong problem-solving and analytical skills.

Benefits

• Competitive salary and performance bonuses.
• Flexible working hours and remote work options.
• Opportunities for professional development and training.
• Health and wellness benefits.
• Collaborative and innovative work environment.
• Access to cutting-edge technologies and tools.
• Work with a diverse and talented team.
• Employee recognition programs.
• Paid time off and holiday leave.
• Support for work-life balance.