AI Data Engineer – AWS, Python & Agentic AI

Our Client, an IT Services and Consultant company, is looking for an AI Data Engineer – AWS, Python & Agentic AI for their Remote location.
 
Responsibilities:

• Candidates will stand out if they have practical experience with:
• Strands Agents SDK or comparable agent-development frameworks/SDKs.
• Designing and building MCP servers, tools, and integrations.
• Creating reusable Kiro steering rules, specifications, development patterns, and engineering standards.
• Building agentic workflows and tool orchestration, particularly where AI agents interact with AWS services, data platforms, APIs, and enterprise systems.
• Applying AI-assisted engineering throughout the SDLC, from requirements/specification → code generation → review/testing → deployment and operational support

• Candidates should demonstrate hands-on engineering and coding experience, not just architectural or conceptual exposure.
• Strong Python and scripting skills, with demonstrated production-level coding experience.
• Hands-on Data Engineering experience, including building and supporting scalable data pipelines and data processing solutions.
• Practical experience with technologies relevant to the role, including AWS Glue, AWS DMS, Apache Kafka, Apache Airflow, and/or Snowflake.
• Strong hands-on experience with AWS services and cloud-native data engineering.
• Demonstrated experience using Claude Code, Kiro, or equivalent AI-assisted development tools for actual software engineering and coding.
• Ability to translate business and technical requirements into clear engineering specifications, technical designs, and acceptance criteria.
• Ability to review, validate, debug, test, and optimize AI-generated code, rather than relying on generated output without engineering validation.
• Hands-on experience developing AWS Lambda functions using Python, including integration with other AWS services.
• Strongly Preferred
• Hands-on experience with Kiro, particularly specification-driven development.
• Practical experience using Claude Code for software/data engineering.
• Experience with Model Context Protocol (MCP) and MCP-based integrations.
• Working knowledge of TypeScript.
• Relevant AWS certification, such as AWS Certified Data Engineer, Developer, or Solutions Architect.
• Experience implementing automated testing, CI/CD pipelines, code-quality controls, and deployment automation.
• Understanding of Agentic AI engineering concepts, including agents, tools, context, memory, workflow orchestration, and human-in-the-loop patterns
• Years of Experience:  
• 14.00 Years of Experience

• Health Benefits
• Referral Program
• Excellent growth and advancement opportunities