What are the responsibilities and job description for the Lead AI Developer | W2 Only | Remote role | position at Xlysi?
Note: Please ensure your resume includes a valid LinkedIn profile link. Applications without a LinkedIn profile will not be considered.
We are seeking a highly skilled and experienced Senior AI Developer and 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, document processing pipelines and Machine Learning model training for prediction/anomaly detection. Will lead and manage development tasks, coordinate with cross-functional teams, work closely with business stakeholder/leaders 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 AI 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 and experience 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).
Experience with AgenticAI and MCP technologies.
Experience working with various AI models (i.e. from openAI, Google, Anthropic etc)
Preferred experience with MS Copilot Studio
We are seeking a highly skilled and experienced Senior AI Developer and 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, document processing pipelines and Machine Learning model training for prediction/anomaly detection. Will lead and manage development tasks, coordinate with cross-functional teams, work closely with business stakeholder/leaders 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 AI 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 and experience 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).
Experience with AgenticAI and MCP technologies.
Experience working with various AI models (i.e. from openAI, Google, Anthropic etc)
Preferred experience with MS Copilot Studio