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# AI Engineer

- **Company:** Insight Global
- **Location:** Woonsocket, RI, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Cloud Computing, Monitoring of Systems, Python (Programming Language), Node.Js, Regression Testing, OpenAI, Software Engineering, Design of Telemetry/logging Agents, Cloud Platform System, Retrieval-Augmented Generation, Open-source Models, Large Language Models, Multi-Agent Systems, Prompt Engineering, Reliability of Systems, Fastapi, Build Management, Weaviate, Graphql, FAISS, Api Design, Microservices
- **Published:** October 2, 2026
- **Apply:** https://dejobs.org/x/x/84CBF08F12FE40F986E209BA3F2938C7/job/

## About the Role

* 6+ years of software engineering experience with 3+ years in AI or LLM-based development (application development) * Experience building agentic AI systems / autonomous agents (OpenAI, Anthropic, or open-source models) * Strong proficiency in: o Python (primary) o FastAPI o Vector databases (FAISS, Weaviate, etc.) o RAG pipelines (design + implementation) * Experience deploying AI solutions in Cloud Environment (GCP preferred) * Experience with CI/CD pipelines * Experience with GraphQL * Exposure to Node.js * Deep experience with agent design patterns and prompt engineering techniques * Experience customizing LangGraph workflows or similar orchestration frameworks * Familiarity with: o Model Context Protocols o Agent-to-agent communication / authentication * Experience in healthcare / pharmacy workflows or workflow automation * Strong analytical mindset with ability to improve existing use cases (not just build net new)

## Description

We are looking for an experienced AI Engineer to join a growing team focused on building and scaling agentic AI solutions in production. This role is highly hands-on and requires someone who can go beyond just using tools-someone who can design, build, and optimize AI systems while clearly articulating how and why solutions are implemented. What You'll Be Doing * Analyze chat conversations, how sensitive the prompts are, testing, etc * Work through regression testing * Once we identify gaps, needs to create solutions * Design and build agentic AI systems using frameworks like LangGraph and LangChain * Develop and optimize RAG-based architectures to support business use cases * Enhance existing AI solutions by identifying gaps and improving performance and scalability * Build and deploy API-driven, microservices-based AI applications in cloud environments (GCP preferred) * Implement prompt engineering strategies and agent workflows across multiple use cases * Collaborate with
engineering leads to productionize AI systems, including: o CI/CD pipelines o Monitoring and observability o System reliability and scalability * Work closely with stakeholders to translate business use cases (workflow automation, patient/pharmacy solutions) into technical solutions Key Focus Areas * Day 1 contribution: Strong ramp in Python, LLMs, and prompt engineering * Enhancing predefined AI use cases (not net new ideation-heavy) * Building scalable platforms for AI-driven workflow automation * Improving agent orchestration and system design


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