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# AI Test / Lead Engineer - INTL India

- **Company:** Insight Global
- **Location:** Bellevue, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, Pytorch, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Kubernetes, Api Design, GPT, Programming Languages
- **Published:** August 14, 2026
- **Apply:** https://dejobs.org/x/x/7A97313A2B294041A542CB447F5887D7/job/

## About the Role

* 1-3 years of experience in AI/ML engineering, applied AI, or intelligent systems development.
 * Hands-on experience with LLM development, OpenAI API usage, custom GPT creation, and RAG implementations. MCP/A2A/ACP familiarity, Agent Evals
 * Proficiency in Python with experience in libraries such as PyTorch, TensorFlow, LangChain, or similar.
 * Ability to analyze and interpret complex data to improve AI model responses.
 * Expertise in prompt and context engineering, fine-tuning, and agentic workflows.
 * Strong knowledge of designing retrieval-augmented generation pipelines
 * Experience with LLM APIs such as GPTs, vector databases, orchestration frameworks (LangChain, LlamaIndex, etc.)
 * Bachelor's Degree plus 3 years of related work experience

OR advanced degree with 1 year of related work experience

OR combination of education and experience deemed equivalent - 2 - 4 years of developing and deploying machine learning models, including fine-tuning and prompt engineering

 * 2-4 years of experience with AI tools and software development using programming languages such as Python
 * Collaborating with cross-functional teams to integrate AI solutions into business workflows

## Description

The AI Engineer architects, builds, and deploys production-grade AI agents and advanced AI solutions that drive employee productivity, process optimization, business transformation, and decision intelligence. This role involves leveraging state-of-the-art AI technologies such as LLM APIs, Agentic workflows, and Retrieval-Augmented Generation (RAG) frameworks to develop and refine intelligent systems that enhance automation, streamline operations, and enable smarter decision-making across the organization. Working collaboratively with cross-functional teams, the Engineer ensures AI-driven improvements are effectively integrated into enterprise workflows, directly contributing to the mission of innovation, efficiency, and customer-first transformation.


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