AI/ML Architect designing scalable AI systems at Ccube, integrating cutting-edge GenAI platforms and microservices architecture. Focused on architecture, integration, and intelligent solutions.
Responsibilities
Design and own end-to-end architecture for scalable, secure, production-ready AI systems
Build and architect microservices using Python or Java
Integrate LLMs, RAG pipelines, and Agentic AI frameworks into enterprise applications
Work with MCP (Model Control Plane), A2A (Agent-to-Agent) communication, and orchestration frameworks like LangChain
Evaluate and recommend AI platforms (OpenAI, Azure OpenAI, Anthropic, Hugging Face, etc.)
Translate complex business problems into intelligent, AI-driven technical solutions
Lead architectural discussions with product, data science, and platform teams
Ensure alignment with enterprise standards, cloud best practices, and security
Requirements
8–10+ years of backend engineering experience (Python/Java)
Strong expertise in microservices & cloud-native architecture
Production-level RAG implementation experience
Hands-on exposure to LLMs, prompt engineering, AI agents
Experience with LangChain, Agentic AI, or similar frameworks
Solid understanding of API design, event-driven systems
Experience with Docker, Kubernetes, CI/CD pipelines
Benefits
Startup culture with opportunity to grow
Performance bonuses
Company stock options
Health, dental and vision insurance plans
Pursue growth and learning with career development expenses
Volunteer and support education for kids & skills development for adults
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