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# AI-Focused Software Developer

- **Company:** Robotics Technologies LLC
- **Location:** Palo Alto, CA, United States
- **Salary:** $162,240.0
- **Contract:** Temporary contract
- **Skills:** LangGraph Framework, AI Evaluation, Artificial Intelligence, Amazon Web Services, Software Applications, Cursor, Python (Programming Language), NoSQL, OpenAI, Application Data, SQL Databases, Systems Integration, Cloud Platform System, GitHub Copilot, Large Language Models, Claude Code, Multi-Agent Systems, Generative AI, Langfuse — LLM Observability and Analytics Platform, Agentic-AI, Containerization, LangSmith, Graphql, Claude, Restful APIs, Model Context Protocol, Agent SDK, Network Server, Docker
- **Published:** November 5, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=b85d765c2576f53a

## About the Role

* Strong Python development experience; Go is a plus.
 * LLM Orchestration and Agentic AI Workflows.
 * Multi-Agent Systems and Model Governance.
 * MCP Integrations and Custom MCP Server Development.
 * LangGraph, Google ADK, Mastra, and Claude Agent SDK.
 * OpenAI SDK and Anthropic SDK.
 * AWS and GCP cloud environments.
 * REST APIs and GraphQL APIs.
 * SQL and NoSQL databases.

## Description

We are seeking a skilled AI-Focused Software Developer with strong Python development experience and expertise in LLM orchestration, Agentic AI workflows, and multi-agent systems. The ideal candidate will have hands-on experience building AI-powered applications, integrating MCP servers, and working with modern AI agent frameworks, cloud platforms, and LLM providers., * Design, develop, and maintain AI-powered applications using Python; Go development experience is a plus.

 * Build and implement LLM orchestration and Agentic AI workflows.
 * Design, develop, and manage multi-agent systems and model governance solutions.
 * Implement Model Context Protocol (MCP) integrations and develop custom MCP servers.
 * Build AI agents and workflows using LangGraph, Google ADK, Mastra, and Claude Agent SDK.
 * Integrate LLM services using OpenAI SDK and Anthropic SDK.
 * Develop and integrate REST and GraphQL APIs for AI-powered applications.
 * Deploy and manage AI solutions across AWS and GCP cloud environments.
 * Work with SQL and NoSQL databases for application data management.
 * Implement Retrieval-Augmented Generation (RAG) solutions and vector database integrations.
 * Use AI development tools such as Claude Code, GitHub Copilot, Cursor, and Windsurf.
 * Implement AI evaluation, monitoring, observability, and cost optimization practices.
 * Utilize Langfuse, LangSmith, and Braintrust for AI application tracking and evaluation.
 * Containerize and deploy applications using Docker and Kubernetes.
 * Collaborate with engineering teams to build scalable, reliable, and production-ready AI solutions.