AI/ML Engineer

About

Looking for a candidate 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 large scale datasets
• Cloud Experience: Hands on work in at least one major cloud platform (Azure, AWS, or GCP)
• 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

• 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 – BigQuery, Firestore, Cloud SQL, etc.
• Data pipeline – Dataflow
• Power Automate
• Automation Tooling – UI Path, etc.
• CI/CD Pipeline – Azure DevOps Pipeline
• Infrastructure as Code (IaC) – Terraform