Note: The job is a remote job and is open to candidates in USA. Insight Global is seeking a Senior AI/ML Engineer for a remote, 6-month contract role. The engineer will focus on enhancing the A/B Testing Platform by integrating advanced LLM-driven capabilities, transforming experimentation data into actionable intelligence, and developing scalable data pipelines.

Responsibilities

• Design and implement systems that leverage LLMs to:
• Generate experiment recommendations (e.g., new test ideas, optimization opportunities)
• Provide automated analysis and summarization of test results
• Develop prompt strategies, evaluation frameworks, and feedback loops to continuously improve LLM output quality
• Integrate structured and unstructured experimentation data into LLM-ready formats
• Build and maintain scalable data pipelines to ingest, transform, and store experimentation data
• Structure and curate datasets to optimize for LLM consumption and analytical accuracy
• Ensure data quality, lineage, and governance across experimentation datasets
• Develop backend services (Node.js / Python) to:
• Orchestrate LLM interactions via AI Gateway
• Enable efficient querying, caching, and retrieval of insights
• Support real-time and batch inference workflows
• Build APIs that power both internal services and user-facing applications
• Design data models that enable efficient storage, retrieval, and visualization of experiment insights
• Collaborate with front-end teams (React) to surface insights in intuitive, actionable formats
• Implement mechanisms for storing and reusing generated insights and recommendations
• Partner with A/B Testing Platform engineers to integrate AI capabilities into existing services
• Work with product and engineering stakeholders to align on experimentation strategy and use cases
• Contribute to platform architecture decisions and long-term AI/ML roadmap

Skills

• 6+ years of experience in software engineering, ML engineering, or data engineering
• Strong programming skills in Python and/or Node.js
• Experience building data pipelines and distributed systems
• Hands-on experience with LLMs and AI systems (e.g., prompt engineering, embeddings, RAG, fine-tuning concepts)
• Experience designing and building backend services and APIs
• Strong understanding of data modeling, storage, and retrieval systems
• Experience working in cloud environments (e.g., GCP preferred)
• Experience building AI-powered analytics or recommendation systems
• Familiarity with experimentation platforms, A/B testing, or product analytics
• Experience with feature stores or ML data platforms
• Vector databases and semantic search
• Observability and evaluation frameworks for LLM outputs
• Experience integrating AI/ML capabilities into production platforms at scale
• Frontend exposure (React) to better collaborate on insight delivery

Benefits

• Comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance
• Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment
• Paid sick leave and other paid time off benefits as required under the applicable law of the worksite location

Company Overview

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