AI Platform Engineer with DevOps Experience

Job summary

Experienced AI Platform Engineer with DevOps expertise to design, build, and operate enterprise AI platforms supporting Large Language Models (LLMs).

Qualifications

• 2+ years of software development experience using Java, Python, JavaScript/TypeScript, C#, C/C++, or similar languages
• Strong Software Development Life Cycle (SDLC) experience
• Experience with application and system design patterns
• Hands-on experience with Docker or Kubernetes
• Experience with Agile methodologies, including Scrum
• Strong understanding of DevOps and CI/CD practices
• Experience with AI/Generative AI platforms and Large Language Models (LLMs)
• Knowledge of RAG, vector search, embeddings, AI inference, and model lifecycle management
• Strong analytical, communication, collaboration, and problem-solving skills

Responsibilities

• Design, build, and operate enterprise AI and Generative AI platforms
• Develop scalable LLMOps and MLOps frameworks for model deployment, monitoring, versioning, evaluation, and governance
• Build reusable AI services including Prompt Management frameworks, RAG architectures, embedding and vector search services, AI gateways, inference APIs, and Agentic AI orchestration frameworks
• Develop value-added services integrated with existing DevOps platforms
• Build and maintain CI/CD pipelines using GitHub Actions, TypeScript, Python, Groovy, and Jenkins
• Coach application teams on DevOps and AI platform capabilities
• Promote developer experience, automation, and engineering best practices
• Participate in proof-of-concept initiatives, new tool adoption, and technology evaluations
• Continuously evolve DevOps and AI services to meet application team requirements
• Collaborate with Capital Markets technology teams to deliver production-class solutions
• Troubleshoot platform issues and support reliable production operations

Skills

Relocation