Description

Job Description:

We are looking for an experienced Angular-Python-Azure GenAI Engineer responsible for designing, developing, and deploying GenAI-powered applications and backend systems. The candidate should have strong hands-on experience in Python development, GenAI integration, RAG-based solutions, agentic workflows, cloud platforms, API development, microservices architecture, and cloud-native deployments. Experience with Azure AI Services, Azure OpenAI, AWS Bedrock, Amazon SageMaker, or Google Vertex AI is expected.

Key Responsibilities:

• Design and develop GenAI-powered applications and backend systems.
• Architect and implement RAG-based solutions, GraphRAG, vector databases, and embedding generation.
• Design and implement agentic workflows using CrewAI, AutoGen, LangGraph, or similar frameworks.
• Develop backend services using Python, FastAPI, Flask, REST APIs, and microservices architecture.
• Integrate GenAI models and services across Azure, AWS, and GCP platforms.
• Collaborate with cross-functional teams through pair programming, code reviews, and collaborative development.
• Use AI-assisted development tools such as GitHub Copilot, Amazon Q, Kiro, or Claude Code.
• Optimize cloud deployments to ensure scalability, reliability, performance, and security.
• Implement CI/CD pipelines and deployment automation.
• Design event-driven architectures using Kafka, Azure Event Hubs, and asynchronous messaging patterns.
• Design secure API Gateway solutions using Kong, Apigee, WSO2, or similar platforms.
• Implement Pub/Sub, event sourcing, saga patterns, and asynchronous communication mechanisms.
• Follow responsible AI principles, prompt engineering practices, and secure coding standards.
• Implement GenAIOps practices for continuous evaluation, lifecycle management, monitoring, and iterative improvements.
• Work with Docker, Kubernetes, and cloud-native technologies for application deployment.
• Stay updated on emerging GenAI frameworks, cloud services, and development best practices.

Mandatory Skills

• Strong hands-on experience in Python development.
• Experience with FastAPI, Flask, REST APIs, and microservices architecture.
• Strong understanding of API security and secure application development.
• Knowledge of vector databases, RAG, GraphRAG, and embedding generation.
• Hands-on experience with agentic frameworks such as CrewAI, AutoGen, or LangGraph; experience with one or two frameworks is preferred.
• Experience with GenAI integration and application development.
• Knowledge of cloud platforms such as Azure, AWS, or GCP.
• Experience with Azure OpenAI and Azure AI Services.
• Knowledge of AWS Bedrock and Amazon SageMaker.
• Experience with Azure Functions and AWS Lambda.
• Knowledge of Azure AI Foundry.
• Knowledge of Google Vertex AI.
• Hands-on experience with Docker, Kubernetes, and cloud deployments.
• Experience with CI/CD pipelines and deployment automation.
• Familiarity with GitHub Copilot, Amazon Q, Kiro, or Claude Code; experience with at least one tool is required.
• Strong pair programming, collaboration, and code review skills.
• Familiarity with responsible AI principles, prompt engineering, and secure coding practices.

GenAI and Cloud Technologies

Experience in one or more of the following technologies:

• Python, FastAPI, Flask, REST APIs, and Microservices.
• Azure OpenAI and Azure AI Services.
• Azure AI Foundry and Azure Functions.
• AWS Bedrock, Amazon SageMaker, and AWS Lambda.
• Google Vertex AI.
• Vector Databases, RAG, GraphRAG, and Embeddings.
• CrewAI, AutoGen, and LangGraph.
• Docker and Kubernetes.
• Kafka and Azure Event Hubs.
• Kong, Apigee, WSO2, or similar API Gateway platforms.
• GitHub Copilot, Amazon Q, Kiro, or Claude Code.

Good to Have

• Experience with Angular frontend development and integration with Python-based backend services.
• Experience implementing GenAIOps, continuous evaluation, and AI lifecycle management.
• Knowledge of prompt engineering, responsible AI, and GenAI security practices.
• Experience designing event-driven architectures and asynchronous messaging systems.
• Knowledge of Pub/Sub, event sourcing, and saga patterns.
• Experience with cloud-native architecture, serverless computing, and scalable application design.
• Experience with automated testing, monitoring, observability, and iterative model evaluation.
• Experience with multi-agent systems, enterprise copilots, and AI-powered applications.
• Strong analytical, troubleshooting, and problem-solving skills

Key Skills

Education

Any Graduate