Lead AI Engineer/Architect

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 (GCP).

·  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, GCP).

·  Familiarity with AgenticAI and MCP technologies.