Posted on: 24/09/2025
Position: AI Platform Architect & Full-Stack AI Developer
Experience: 6+ Years
Job Type: Full-time
Job Summary :
Key Responsibilities :
- Secure CI/CD & DevSecOps: Design, implement, and maintain secure CI/CD pipelines with integrated DevSecOps principles. You will be responsible for building security into every stage of the pipeline, leveraging modern AI tools like Copilot, Claude, Gemini, and OpenAI.
- AI Platform Development: Architect and build large-scale production systems for AI/ML workflows. This includes hands-on development of AI-powered applications and securing them with controls like RBAC, identity-aware access, and zero-trust enforcement.
- Full-Stack Ownership: Take complete ownership of the full stack and development process, from infrastructure and backend to the application layer. You will be expected to code, test, and secure platforms with high efficiency.
- Security & Compliance: Implement and enforce robust security measures, including prompt monitoring, to protect AI systems. You will have experience with security standards like SBOMs, supply chain security, OWASP, and OAuth2.
- Frameworks & Infrastructure: Utilize your expertise in Kubernetes, GitHub Actions, and Terraform for infrastructure as code. You will also use monitoring tools like Grafana to ensure system health and performance.
Required Skills & Qualifications :
- 3+ years of specialized experience in AI/ML workflows and LLM frameworks such as LangChain, RAG, or ReAct.
- Proven experience building large-scale production systems and contributing to open-source projects.
- Expertise in Kubernetes, GitHub Actions, Terraform, and Grafana.
- Strong understanding of security standards and practices, including SBOMs, OWASP, and OAuth2.
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Posted By
Posted in
DevOps / SRE
Functional Area
ML / DL / AI Research
Job Code
1551394
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