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AI/ML Tech LeadCcube • Raleigh, NC, NC, US
AI/ML Tech Lead

AI/ML Tech Lead

Ccube • Raleigh, NC, NC, US
2 days ago
Job type
  • Full-time
  • Quick Apply
Job description

Position:

  • - AI/ML Tech Lead Location: Raleigh, NC (Hybrid) Job Type: Full Time Exp Level- 8-10 Years Required Skills- Claude, Vibe Coding, Data Scientist, MCP ( Model Context Protocol ) , Agentic AI, LLM understanding, RAG.
  • Architecture end to end, built systems. We are seeking a highly skilled AI/ML Leader with a strong foundation in Python/Java and microservices architecture, who can bridge the gap between traditional backend systems and modern AI/ML platforms.
  • The ideal candidate will have experience or a strong interest in LLM-based frameworks (e.g., LangChain, Agentic AI), and be capable of designing scalable, intelligent solutions that integrate with major AI platforms.

Key Responsibilities:

  • Architect and design scalable, secure, and high-performance microservices using Python OR Java.
  • Collaborate with AI/ML teams to integrate LLM-based tools and frameworks into enterprise applications.
  • Understand and work with MCP (Model Context Protoco), A2A (Agent-to-Agent) communication, and LLM orchestration frameworks like LangChain and Agentic AI.
  • Evaluate and recommend AI platforms and tools for enterprise use cases.
  • Translate business requirements into technical solutions that leverage both traditional and AI-driven components.
  • Lead technical discussions with stakeholders, including product managers, data scientists, and platform teams.
  • Ensure architectural alignment with enterprise standards and best practices.

Required Skills & Experience:

  • 8+ years of experience in backend development with Python/Java Proven experience designing and deploying microservices architectures.
  • Familiarity with AI/ML concepts, especially LLMs, prompt engineering, and AI agents.
  • Understanding of LangChain, Agentic AI, or similar LLM orchestration frameworks .
  • Experience integrating with AI platforms (e.g., OpenAI, Azure OpenAI, Anthropic, Hugging Face).
  • Strong understanding of API design, event-driven systems, and cloud-native architectures.
  • Excellent communication and stakeholder management skills.
  • Production-level RAG implementation experience.
  • Hands-on experience with LLM-based applications or AI agent frameworks.
  • Exposure to MCP, A2A, or similar AI infrastructure concepts.
  • Experience with containerization (Docker, Kubernetes) and CI/CD pipelines.

Knowledge of data pipelines and AI model lifecycle management Nice-to-Have / Big Plus:

  • Experience with MCP, A2A , or similar AI infrastructure concepts Knowledge of data pipelines & AI model lifecycle management Prior experience architecting enterprise AI platforms Why Join Us?
  • Work on real production AI systems , not just POCs Design next-gen Agentic & LLM-powered architectures High ownership, high impact role Flexible Hybrid / Remote setup Collaborate with strong engineering & AI talent Powered by JazzHR
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AI/ML Tech Lead • Raleigh, NC, NC, US

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