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# Platform Engineer

- **Company:** OpenKyber LLC
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, ASP.NET, Java (Programming Language), JavaScript (Programming Language), .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Engineering, Continuous Integration, Cursor, Software Debugging, DevOps, Python (Programming Language), Systems Development Life Cycle, Rapid Prototyping Process, OpenAI, Software Engineering, TypeScript, Enterprise Search, Enterprise Software Applications, GitHub Copilot, LangChain, Retrieval-Augmented Generation, Large Language Models, Claude Code, Generative AI, Backend, Agentic-AI, AI Platforms, AngularJS, CrewAI, AutoGen, Front End Software Development, Google Gemini, Semantic Kernel, GPT, Microservices
- **Published:** October 15, 2026
- **Apply:** https://www.careerjet.com/jobad/usf347966f710b00c2627ea6f953432bda

## About the Role

* 8+ years of software engineering, full stack development, or platform engineering experience.
 * Hands-on experience with GenAI, LLM applications, AI agents, RAG, or intelligent automation.
 * Experience using AI-assisted development tools such as Cursor, Claude Code, GitHub Copilot, or similar.
 * Strong experience with APIs, microservices, cloud-native architecture, Agile, DevOps, and CI/CD.
 * Development background in .NET / C#, Angular, JavaScript, TypeScript, Python, Java, or similar.
 * Exposure to LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, or Google Gemini is preferred.
 * Strong communication skills and ability to work with product, engineering, architecture, and business teams.

For applications and inquiries, contact:hirings@openkyber.com

## Description

We are looking for a hands-on AI Engineer / AI Platform Engineer to design, build, and integrate enterprise AI solutions that improve software engineering productivity, automation, and intelligent decision-making. This role is ideal for someone with strong software engineering experience and practical exposure to Generative AI, AI agents, LLM-based applications, AI-assisted development tools, and modern enterprise application architecture. Key Responsibilities

 * AI Engineering & Solution Development: Build AI-enabled applications using LLMs, AI agents, RAG, enterprise search, intelligent assistants, and workflow automation.
 * Develop reusable AI services, APIs, accelerators, and components for enterprise adoption.
 * Integrate AI solutions with internal applications, enterprise data sources, APIs, and workflow platforms.

AI-Enabled SDLC Implementation

 * Apply tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT Enterprise, or similar platforms across the SDLC.
 * Support use cases across requirements, design, coding, debugging, testing, documentation, and deployment.
 * Work with internal AI teams to refine AI engineering workflows, prompting patterns, and reusable development frameworks.

Application Engineering & Platform Readiness

 * Design and develop backend services, APIs, microservices, and frontend components as needed.
 * Work with modern stacks such as .NET / C# / ASP.NET Core, Angular, JavaScript, TypeScript, or comparable technologies.
 * Support Agile delivery, CI/CD integration, rapid prototyping, stakeholder demos, and production readiness.