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# AI Engineer / AI Platform Engineer

- **Company:** Acunor Infotech
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** 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 (Graphical User Interface Elements), Software Debugging, DevOps, Python (Programming Language), Systems Development Life Cycle, Rapid Prototyping Process, Software Engineering, TypeScript, Enterprise Search, GitHub Copilot, Large Language Models, Backend, AI Platforms, AngularJS, Front End Software Development, GPT, Microservices
- **Published:** August 9, 2026
- **Apply:** https://www.dice.com/job-detail/dfd24d5d-a1f6-41f4-b730-1a83da7eb9cf

## 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.

## Description

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.


## Related Videos

- [Developer Experience, Platform Engineering and AI powered Apps](https://www.wearedevelopers.com/videos/990-developer-experience-platform-engineering-and-ai-powered-apps)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [ Evaluating AI models for code comprehension](https://www.wearedevelopers.com/videos/1462-evaluating-ai-models-for-code-comprehension)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [The Future of Developer Experience with GenAI: Driving Engineering Excellence](https://www.wearedevelopers.com/videos/1107-the-future-of-developer-experience-with-genai-driving-engineering-excellence)
- [Speak, Code, Deploy: Transforming Developer Experience with Voice Commands](https://www.wearedevelopers.com/videos/1159-speak-code-deploy-transforming-developer-experience-with-voice-commands)

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- [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai)