AI/ML Tech Lead

CcubeRaleigh, NC
Hybrid

About The Position

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.

Requirements

  • 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.

Nice To Haves

  • Experience with MCP, A2A , or similar AI infrastructure concepts
  • Knowledge of data pipelines & AI model lifecycle management
  • Prior experience architecting enterprise AI platforms

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.

Benefits

  • Flexible Hybrid / Remote setup
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