Senior Lead AI Developer

Codetech•Scottsdale, AZ

About The Position

We are seeking a highly skilled and experienced Senior Lead AI Developer to join a dynamic team. The role leads development tasks, coordinates with cross-functional teams, and drives delivery of production-ready AI solutions. The developer designs and builds full-stack Python applications and GenAI solutions, including Retrieval-Augmented Generation (RAG) applications and document processing pipelines. The role also includes AI/ML model development, cloud deployment and maintenance, and the integration of AgenticAI and MCP technologies.

Requirements

  • Expertise in AI technologies and frameworks.
  • Extensive experience in full-stack Python development, including frontend, backend, and APIs.
  • Demonstrated success designing and deploying production GenAI applications using RAG architecture.
  • Hands-on experience building document ingestion pipelines with vector databases; MongoDB Atlas is preferred.
  • Leadership skills and experience managing development tasks and coordinating teams.
  • Excellent verbal and written communication skills.
  • Ability to lead projects independently with minimal supervision.
  • Background in data analytics, prediction, and forecasting using AI/ML models.
  • Experience deploying AI applications to cloud platforms such as Azure and GCP.
  • Familiarity with AgenticAI and MCP technologies.

Responsibilities

  • Lead the design, development, and testing of full-stack Python applications, including frontend, backend, and APIs.
  • Design and implement production GenAI applications using Retrieval-Augmented Generation (RAG).
  • Build and optimize document ingestion pipelines and processing workflows using vector databases such as MongoDB Atlas.
  • Manage and coordinate development tasks, collaborating with internal and external teams to support project success.
  • Oversee the full software development lifecycle and deliver high-quality solutions with minimal supervision.
  • Design and develop AI/ML models for data analytics, prediction, and forecasting.
  • Deploy and maintain AI applications on cloud platforms such as Azure and Google Cloud Platform (GCP).
  • Integrate and leverage AgenticAI and MCP technologies in AI solutions.
  • Communicate with technical and non-technical stakeholders, providing updates and documentation.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service