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AI Engineering Lead

Roles & Responsibilities

  • Strong hands-on experience with Python, LLM applications, RAG, agentic workflows, and AI microservices
  • Experience with tools such as LangChain, LlamaIndex, vector databases, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP
  • Understanding of MLOps/LLMOps, CI/CD, AI observability, latency, cost, and performance optimization
  • Proven experience mentoring or leading engineering teams

Requirements:

  • Leading and developing a high-performing AI engineering team while setting engineering standards across multiple client engagements
  • Translating complex AI concepts into clear, practical direction for business and technical audiences
  • Architecting and delivering production-grade end-to-end AI solutions (ML + newer generative/agent-based approaches)
  • Acting as a trusted advisor in shaping AI roadmaps, solution design, and delivery approaches

Job description

 

CoPilot Innovations, a subsidiary of The Plumtree Group, is looking for an AI Engineering Lead to act as the technical authority across our engineering team.

 

This is a hands-on leadership role for someone who can build production-ready AI systems while coaching engineers, reviewing architectures, and setting strong engineering standards internally as well as across client accounts. This is a client-facing leadership role suited to someone who enjoys building teams, shaping solutions, and staying close to emerging Al capabilities.

 

What You’ll Do:

  • Leading and developing a high-performing Al engineering team while setting engineering standards across multiple client engagements
  • Translating complex Al concepts into clear, practical direction for business and technical audiences
  • Architecting and delivering production-grade end-to-end Al solutions (ML + newer generative/agent-based approaches)
  • Acting as a trusted advisor in shaping Al roadmaps, solution design, and delivery approaches
  • Define best practices for AI-first software development, cloud deployment, and engineering quality

What We’re Looking For:

  • Strong hands-on experience with Python, LLM applications, RAG, agentic workflows, and AI microservices
  • Experience with tools such as LangChain, LlamaIndex, vector databases, PyTorch/TensorFlow, Docker, Kubernetes, and cloud platforms like AWS, Azure, or GCP
  • Understanding of MLOps/LLMOps, CI/CD, AI observability, latency, cost, and performance optimization
  • Proven experience mentoring or leading engineering teams
  • Strong communication skills and the ability to explain AI trade-offs to both technical and non-technical stakeholders

This role is ideal for someone who enjoys building advanced AI systems while raising the technical standard of an entire engineering team.

 

Apply if you’re excited to build impactful AI solutions and help shape the future of AI engineering at CoPilot Innovations.


 

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