| 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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