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# Remote Data Scientist/AI Engineer - INTL

- **Company:** Insight Global
- **Location:** Eden Prairie, MN, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Microsoft Azure, Continuous Integration, Information Retrieval, Python (Programming Language), Machine Learning, Azure Machine Learning, Search Technologies, Systems Integration, Data Logging, Chatbots, Large Language Models, Prompt Engineering, Generative AI, Web Filtering, AI Platforms, Kubernetes, Production Code, Search Engines
- **Published:** June 21, 2026
- **Apply:** https://www.juju.com/job/00000000g9ntvx

## About the Role

4+ years of experience in Data Science, Machine Learning Engineering, or AI Engineering, with recent hands-on work in Generative AI / LLMs.

-Strong proficiency in Python for production-grade ML and AI services.

-Demonstrated experience building RAG-based LLM applications beyond simple demos or notebooks.

-Hands-on experience with vector databases or vector search systems (e.g., Azure AI Search, Pinecone, FAISS, etc.).

-Practical experience with prompt engineering, prompt chaining, and agent/tool orchestration.

-Experience designing LLM evaluation frameworks and quality metrics-not just manual testing.

Azure & Cloud Experience

-Production experience with Azure OpenAI and Azure-based AI services.

-Experience deploying AI/ML services using Azure-native infrastructure (Functions, App Services, Containers, CI/CD).

-Familiarity with observability and telemetry for AI systems (logging, metrics, tracing).

LLM Application Engineering

-Experience integrating external tools, APIs, or web search into LLM workflows.

-Understanding of LLM limitations, failure modes, and mitigation strategies.

-Ability to design systems that balance accuracy, latency, cost, and safety. -Experience with LangChain, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.

-Experience with hybrid search (keyword + vector) and reranking strategies.

-Familiarity with responsible AI, content filtering, and prompt safety patterns.

-Experience building customer-facing chatbots or conversational AI systems at scale.

-Background in NLP, information retrieval, or applied ML research.

## Description

We are seeking a hands-on Data Scientist/AI Engineer/ML Engineer to design, build, evaluate, and deploy customer-facing LLM applications-with a primary focus on retrieval-augmented generation (RAG), agentic workflows, and production-grade Azure deployments.

This role will be responsible for delivering a web-enabled, customer-facing chatbot that combines proprietary knowledge with live web search, integrates securely with enterprise systems, and meets high standards for accuracy, reliability, observability, and safety.

This is not a research-only role. You will write production code, build evaluation harnesses, and own models and services from prototype through live deployment.


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