Platform Engineer
OpenKyber LLC
San Diego, CA, United States
1 day ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+29 more
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
Job 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.
Requirements
- 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
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