Software Engineer - AI Agents (Amazon Bedrock / Azure AI Foundry)

We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Amazon Bedrock or Azure AI Foundry. The focus is on developing scalable, production-grade multi-agent solutions that automate business processes and accelerate enterprise AI adoption. This engineer will work across the full lifecycle-from solution design and model integration to deployment, orchestration, and optimization of AI agents in cloud-native environments., * Design and develop AI agents and multi-agent systems using Amazon Bedrock or Azure AI Foundry / Agent frameworks.

• Build agent-driven workflows to automate enterprise processes and orchestrate tasks across systems.
• Integrate LLMs, APIs, enterprise data sources, and external services into agent architectures.
• Develop RAG-based and conversational AI solutions using modern GenAI frameworks.
• Implement scalable, cloud-native applications using microservices and serverless patterns.
• Collaborate with architects and domain teams to translate business requirements into AI-driven solutions.
• Ensure secure, compliant, and responsible AI implementation (governance, explainability, monitoring).
• Build reusable frameworks, SDK integrations, and automation pipelines for agent deployment.
• Optimize agent performance, latency, and cost across cloud environments.
• Contribute to CI/CD pipelines, testing, and production deployment of AI solutions.

• 5+ years in software engineering with strong experience in cloud-native development.
• Hands-on experience with:

• Amazon Bedrock / AWS AI services OR Azure AI Foundry / Azure OpenAI
• AI agent frameworks (e.g., AutoGen, Semantic Kernel, LangChain, Agent SDKs)

• Strong programming expertise in:

• Python (preferred) or Java

• Experience building:

• REST APIs, microservices, event-driven architectures

• Familiarity with:

• LLMs, prompt engineering, RAG architectures
• Multi-agent orchestration and workflow design

• Experience with cloud services:

• Azure (Functions, Storage, DevOps, Service Bus) OR AWS equivalents

• Knowledge of:

• CI/CD, DevOps, and containerization (Docker/Kubernetes)

• Experience integrating enterprise systems (APIs, databases, SaaS platforms), * Experience building multi-agent platforms or autonomous workflows.
• Exposure to AI governance, safety, and responsible AI practices.
• Familiarity with agent-to-agent communication and orchestration protocols.
• Experience building GenAI-enabled user interfaces (React or similar).
• Certifications in Azure AI, AWS AI, or cloud architecture., * Strong problem-solving and system design skills.
• Ability to translate business use cases into AI-driven architectures.
• Collaboration across cross-functional teams (engineering, data, business).
• Focus on performance, scalability, and production readiness.