Agentic AI engineer

Key Responsibilities

• 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 implementations (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

Required Skills & Experience

• 5+ years in software engineering with strong experience in cloud-native development
• Hands-on experience with:
  • Azure AI Foundry / Azure OpenAI
  • AI agent frameworks (e.g., Autogen, Semantic Kernel, Lang Chain, 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, Dev Ops, Service Bus) OR AWS equivalents
• Knowledge of CI/CD, Dev Ops, and containerization (Docker/Kubernetes)
• Experience integrating enterprise systems (APIs, databases, SaaS platforms)

Preferred Qualifications

• 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 in building GenAI-enabled user interfaces (React or similar)
• Certifications in Azure AI / AWS AI / Cloud Architect roles

Key Competencies

• 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