Role: Lead AI/ML Engineer
Location: USA_ Remote
Duration: Full Time
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JD We are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.
Core Responsibilities
Design, build, and maintain Python based services and automation workflows
Implement MCP for agent communication, control, and observability
Build, transform, and manage data pipelines supporting AI and analytics use cases
Deploy, monitor, and optimize solutions in cloud environments
Collaborate with product, data, and engineering teams to deliver end-to-end solutions
Ensure code quality, performance, security, and maintainability
Required Technical Skills
Python: Advanced proficiency; production experience with APIs, async processing, and testing
AI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)
MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architectures
Data Management:
Data modeling and data pipelines
Working with SQL and NoSQL databases
Experience with data quality, governance, and largescale datasets
Cloud Experience:
Hands on work in at least one major cloud platform (Azure, AWS, or Google Cloud Platform)
Experience with cloud storage, compute, and managed services
Familiarity with CI/CD and cloud native deployment patterns
Preferred / Nice to Have
Experience with vector databases and embeddings
Familiarity with MLOps or LLMOps practices
Experience with streaming data or event driven architectures
Knowledge of security and compliance considerations for AI systems
Prior work in enterprise or large-scale data management
Healthcare or other data regulated experience preferred
Engagement Characteristics
Contractor is expected to work independently with minimal supervision
Comfortable operating in fast moving, evolving technical environments
Strong documentation and communication skills
Experience collaborating with remote and cross functional teams
Technical Skills
AI/LLM Agent and MCP (Model Control Protocols) Google ADK, Copilot Studio
Cloud Experience Google Cloud or Azure preferred.
Database Knowledge Big Query, Fire store, Cloud SQL, etc.
Data pipeline Dataflow
Power Automate
Automation Tooling UI Path, etc.
CI/CD Pipeline Azure DevOps Pipeline
Infrastructure as Code (IaC) - Terraform
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