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# Senior AI/ML Developer

- **Company:** Spirite Industries, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Software Design Patterns, Software Deployment, Data Streaming, Systems Integration, WebSocket, Datadog, Enterprise Software Applications, Large Language Models, Agentic-AI, Event Driven Architecture, LangSmith, Evaluation of Large Language Models, Api Design, Restful APIs, Model Context Protocol, Agent2Agent Protocol
- **Published:** November 7, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/px8fpspkgp

## About the Role

* Minimum 7 years of experience in building and deploying AI/LLM-based solutions
 * Practical knowledge of Agentic AI architectures and design patterns
 * Experience in LLM evaluation methods, frameworks, and best practices
 * Familiarity with AI monitoring and observability solutions, such as LangSmith and Datadog
 * Strong experience with at least one major AI-as-a-Service platform, preferably AWS Bedrock or Azure AI Foundry
 * Practical knowledge of A2A (Agent-to-Agent) and MCP (Model Context Protocol) protocols
 * Knowledge of REST API design principles, WebSockets, and RPC, as well as best practices for API documentation and integration
 * Advanced English language skills
 * Residency in Poland

Nice to have

 * Knowledge of event-driven architecture (EDA) patterns
 * Experience working with OpenAI API and streaming interaction patterns
 * Skills in technical documentation and architecture

## Description

We are looking for an experienced AI/ML developer to join a project focused on designing, building, and deploying solutions based on Agentic AI and LLM. You will work in a team dedicated to creating architectures that enable AI agents to interact with enterprise systems, APIs, and tools. Your task will be to ensure that AI solutions are reliable and production-ready, applying best practices in LLM evaluation, monitoring, and responsible AI deployment. If you are passionate about modern AI technologies, this offer may be ideal for you.

Your tasks

 * Designing and developing solutions based on Agentic AI and LLM
 * Building agent workflows using LangGraph
 * Integrating AI agents with APIs, tools, and enterprise systems using MCP and A2A protocols
 * Implementing LLM evaluation, monitoring, and observability solutions
 * Implementing AI security, content safety, and responsible AI mechanisms
 * Integrating solutions with AWS Bedrock and/or Azure AI Foundry
 * Supporting production deployment, optimization, and technical documentation