Mandatory Skills
Experience with FastAPI async processing or event-driven systems
Strong hands-on experience with Python (backend data or AI-focused roles)
Experience building microservices or distributed systems
Familiarity with Domain-Driven Design (DDD) concepts
Good understanding of GenAI / LLM concepts and how they are applied in real solutions
Hands-on exposure to Microsoft Foundry RAG architectures prompt engineering and LLM optimization Agent Orchestration Multi-Agentic AI Application development MCP A2A
Experience with platforms such as Databricks Azure AI or similar AI/data platforms
Exposure to MLOps or Azure DevOps practices for AI solutions
Experience with data handling and processing using Python
Proficiency in SQL and relational database concepts
Experience working with complex integration landscapes
Hands-on experience working in cloud environments (Azure preferred)
Familiarity with CI/CD pipelines Git and DevOps practices
Experience working in Agile / Scrum delivery models
Strong understanding of clean coding practices software design principles and debugging
Enterprise Expectations
Ownership mindset for production systems in business-critical environments
Strong focus on data integrity auditability and reliability
Comfort working within enterprise governance security and compliance frameworks
Ability to collaborate across technical and non-technical stakeholders
Experience Level
6 12 years of relevant experience
Senior individual contributors and tech leads welcome
Mandatory Skills Experience with FastAPI async processing or event-driven systems Strong hands-on experience with Python (backend data or AI-focused roles) Experience building microservices or distributed systems Familiarity with Domain-Driven Design (DDD) concepts Good understanding ...
Mandatory Skills
Experience with FastAPI async processing or event-driven systems
Strong hands-on experience with Python (backend data or AI-focused roles)
Experience building microservices or distributed systems
Familiarity with Domain-Driven Design (DDD) concepts
Good understanding of GenAI / LLM concepts and how they are applied in real solutions
Hands-on exposure to Microsoft Foundry RAG architectures prompt engineering and LLM optimization Agent Orchestration Multi-Agentic AI Application development MCP A2A
Experience with platforms such as Databricks Azure AI or similar AI/data platforms
Exposure to MLOps or Azure DevOps practices for AI solutions
Experience with data handling and processing using Python
Proficiency in SQL and relational database concepts
Experience working with complex integration landscapes
Hands-on experience working in cloud environments (Azure preferred)
Familiarity with CI/CD pipelines Git and DevOps practices
Experience working in Agile / Scrum delivery models
Strong understanding of clean coding practices software design principles and debugging
Enterprise Expectations
Ownership mindset for production systems in business-critical environments
Strong focus on data integrity auditability and reliability
Comfort working within enterprise governance security and compliance frameworks
Ability to collaborate across technical and non-technical stakeholders
Experience Level
6 12 years of relevant experience
Senior individual contributors and tech leads welcome
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