Lead AI Engineer at Remote

Hybrid • Posted 10 hours ago • Updated 1 hour ago

Full Time

Remote

Fitment

Dice Job Match Score™

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Job Details

Skills

Video
Software Design
Testing
Document Processing
Workflow
Software Development
Documentation
Python
API
Generative Artificial Intelligence (AI)
Vector Databases
MongoDB
ATLAS
Leadership
Management
Communication
Supervision
Data Analysis
Forecasting
Machine Learning (ML)
Artificial Intelligence
Cloud Computing
Microsoft Azure
Google Cloud
Google Cloud Platform
Microsoft Certified Professional

Summary

Role: Lead AI Engineer

Location: Remote

Duration: 12+ Months

Interview Mode: Video

Lead AI Engineer who has experience with architecture and design, working w/ multiple engineering teams to design solutions to develop frameworks across a portfolio.

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.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 91121021
Position Id: 2026-42389
Posted 10 hours ago

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Lead AI Engineer at Remote

Dice Job Match Score™

Job Details

Skills

Summary

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