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We are looking to hire a Skilled AI/ML Engineer immediately. We are looking for an experienced resource 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.
Job Responsibility:
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
Requirements:
Bachelor’s or Higher Degree
Advanced proficiency in Python with production experience with APIs, async processing, and testing
Experience designing and implementing autonomous or semiautonomous AI/LLM agents (e.g., tool using agents, planners, orchestrators)
Experience with MCP (Model Context Protocols) for agent communication, coordination frameworks, or protocol driven AI architectures
Data modeling and data pipelines
Working with SQL and NoSQL databases
Experience with data quality, governance, and large-scale datasets
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
8.00 to 15.00 Years of total experience
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
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.