> Markdown version of [/jobs/ext/164362-crowdstrike-genai-security-engineer](https://www.wearedevelopers.com/jobs/ext/164362-crowdstrike-genai-security-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# CrowdStrike GenAI Security Engineer

- **Company:** OpenKyber LLC
- **Location:** United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Application Integration Architecture, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, DevOps, Python (Programming Language), Open Source Technology, Performance Tuning, Software Engineering, Google Cloud, Enterprise Software Applications, Chatbots, .NET Core, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Generative AI, Backend, Kubernetes, Virtual Agents, Software Coding, Restful APIs, Docker, Microservices
- **Published:** May 19, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=66b65f48b9f592b9

## About the Role

Role Overview We are looking for a Solutions Expert with strong hands-on experience in .NET and Python, combined with working knowledge of Generative AI (GenAI) technologies. This role is ideal for a senior individual contributor who can design, build, and implement scalable solutions, with a focus on integrating AI capabilities into enterprise applications., Generative AI Implementation Work with: LLM APIs (OpenAI / Azure OpenAI / open-source models) Prompt engineering and optimization Implement: RAG (Retrieval-Augmented Generation) pipelines Embeddings and vector database integrations Build use cases like: Chatbots Document summarization Intelligent search
Engineering & Integration Develop microservices-based architectures Integrate AI models into enterprise platforms Work with: REST APIs Cloud platforms (Azure / AWS / Google Cloud Platform) Containers (Docker, Kubernetes good to have)
Collaboration Work closely with: Architects Product managers Data/ML engineers Translate functional requirements into technical solutions
Quality & Best Practices Write clean, scalable, and maintainable code Follow best practices for: Security Performance optimization Testing and deployment
Experience 7 12 years in software development 2+ years working with AI/ML or GenAI use cases
Technical Skills Strong expertise in: .NET Core / C# Python (backend / AI integration) Experience with: LLM APIs (OpenAI / Azure OpenAI) LangChain / LlamaIndex (or similar frameworks) Vector databases (Pinecone, FAISS, etc.) Solid understanding of: REST APIs Microservices architecture
Preferred Qualifications Experience with cloud-native development (Azure preferred) Exposure to AI-driven application development Familiarity with CI/CD pipelines and DevOps practices
What Makes You Successful Strong hands-on coding ability Problem-solving mindset with focus on practical AI implementation Ability to work in a fast-paced, collaborative environment

## Description

Solution Design & Development Design and develop scalable enterprise applications using .NET (C#) and Python Build and integrate GenAI-powered features into existing and new systems Develop APIs, microservices, and backend systems for AI-driven applications


## Related Videos

- [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered)
- [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)
- [How E.On productionizes its AI model & Implementation of Secure Generative AI.](https://www.wearedevelopers.com/videos/623-how-e-on-productionizes-its-ai-model-implementation-of-secure-generative-ai)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

## Related Articles

- [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)
- [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development)
- [Got AI ideas but no money? Here are 10 free ways to level up your AI skills with Google Cloud](https://www.wearedevelopers.com/magazine/600-got-ai-ideas-but-no-money-here-are-10-free-ways-to-level-up-your-ai-skills-with-google-cloud)
- [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)
- [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix)
- [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)