Description

You will design and build AI agents and multi-agent systems to automate enterprise processes. You will integrate LLMs, APIs, and external services into scalable, cloud-native architectures.

This role is on-site.

Responsibilities

• Build agent-driven workflows using Azure AI Foundry or Amazon Bedrock frameworks.
• Develop RAG-based and conversational AI solutions with modern GenAI tools.
• Implement microservices and serverless patterns for scalable AI applications.
• Ensure secure, compliant AI implementations including governance and monitoring.
• Optimize agent performance, latency, and cost while maintaining CI/CD pipelines.

Required Skills

• 5+ years in software engineering with strong cloud-native development experience.
• Hands-on experience with Azure AI Foundry, Azure OpenAI, or Amazon Bedrock.
• Proficiency in Python (preferred) or Java for backend development.
• Experience with AI agent frameworks such as AutoGen, Semantic Kernel, or LangChain.
• Strong expertise in REST APIs, microservices, and event-driven architectures.
• Knowledge of LLMs, prompt engineering, and RAG architectures.
• Familiarity with Azure (Functions, Storage, DevOps) or AWS equivalents.
• Experience with CI/CD, DevOps, and containerization (Docker/Kubernetes).

Preferred Skills

• Experience building multi-agent platforms or autonomous workflows.
• Familiarity with GenAI-enabled user interfaces using React.
• Knowledge of AI governance, safety, and responsible AI practices.

Key Skills

Education

Bachelor's degree