Lead AI Developer

Position Overview:

We are seeking a highly skilled and experienced Senior Lead AI Developer to join our dynamic team. The ideal candidate will be an expert in AI technologies, with a strong background in full stack Python development, GenAI application design, and document processing pipelines. You will lead and manage development tasks, coordinate with cross-functional teams, and drive the successful delivery of cutting-edge AI solutions in a production environment.

Key Responsibilities:

• Lead the design, development, and testing of full stack (frontend, backend, API) Python applications.
• Design and implement GenAI applications using Retrieval-Augmented Generation (RAG) in production settings.
• Build and optimize document ingestion pipelines and document processing workflows utilizing vector databases (e.g., MongoDB Atlas).
• Manage and coordinate development tasks, collaborating with internal and external teams to ensure project success.
• Oversee the full software development lifecycle, delivering 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 (Google Cloud Platform).
• Integrate and leverage AgenticAI and MCP technologies in AI solutions.
• Communicate effectively with technical and non-technical stakeholders, providing clear updates and documentation.

Required Qualifications:

• Proven expertise in AI technologies and frameworks.
• Extensive experience in full stack Python development (frontend, backend, API).
• Demonstrated success in designing and deploying GenAI applications using RAG architecture in production and hands-on experience building document ingestion pipelines with vector databases (MongoDB Atlas preferred).
• Strong leadership skills with experience managing development tasks and coordinating teams.
• Excellent verbal and written communication skills.
• Ability to lead projects independently with minimal supervision.
• Solid background in data analytics, prediction, and forecasting using AI/ML models.
• Experience deploying AI applications to cloud platforms (Azure, Google Cloud Platform).
• Familiarity with AgenticAI and MCP technologies