Hybrid AI/ML Architect – Agentic AI, GenAI

Posted 2 days ago

Apply now

About the role

  • 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

Job title

AI/ML Architect – Agentic AI, GenAI

Job type

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job