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Skills:
Strong hands-on experience developing applications using Python
Experience building backend services and Rest API's using FASTAPI or a comparable Python framework
Experience with MongoDB or another document-oriented database
Experience integrating applications with API's, databases and object-storage services
Understanding of ReactJS and modern front-end development concepts.
Practical experience developing GenAI of LLM enabled applications
Experience with agentic workflows, tool calling, structured outputs, prompt design, or human-in-the-loop processes
Experience with automation testing, source control, pull requests and CI/CD processes
Working knowledge of containers, Kubernetes, OpenShift or equivalent container platforms
Key Responsibilities:
Design and develop application capabilities using Python, FastAPI, ReactJS, MongoDB, and S3-compatible storage
Build and maintain scalable backend services, Rest API's, data models, and enterprise integrations.
Design and implement agentic AI workflows using Google Agent Development Kit, integrating with internal LLM services supporting models such as Claude and Gemini
Develop agents supporting application insights, assessments, provisioning validation, and deployment activities.
Implement structured LLM outputs, tool calling, human-in-the-loop approvals, validation controls and agent evaluation
Follow specification-driven development practices, including technical specifications, API contracts, acceptance criteria, and automated tests.
Translate enterprise architecture, SDLC, security, ;policy and governance requirements into application workflows and validations.
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