[Remote] Senior AI/ML Engineer
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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