AI Engineer

Insight Global
Woonsocket, RI, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Working hours
Regular working hours
Job source

Tech stack

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
+12 more
Open-source Models Large Language Models Multi-Agent Systems Prompt Engineering Reliability of Systems Fastapi Build Management Weaviate Graphql FAISS Api Design Microservices

Job 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

Requirements

  • 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)

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