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Foundry Process Engineer Rf Gan information

What is the difference between Foundry Process Engineer Rf Gan vs Foundry Process Engineer?

AspectFoundry Process Engineer Rf GanFoundry Process Engineer
CredentialsBachelor's in Materials Science, Chemical Engineering, or related field; experience with RF Gan processesBachelor's in similar fields; general foundry process knowledge
Work EnvironmentSemiconductor foundries, RF Gan manufacturing facilitiesVarious foundries, including silicon and compound semiconductor plants
Industry UsagePrimarily in RF and microwave device manufacturingBroader foundry industry, including microelectronics and power devices

The Foundry Process Engineer Rf Gan specializes in RF Gallium Nitride processes, focusing on RF device fabrication, while the Foundry Process Engineer has a broader role across various semiconductor manufacturing processes. Both roles require similar technical skills but differ in industry focus and specific process expertise.

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Software Engineer - AI Agents (Azure AI Foundry)

Futran Tech Solutions Pvt. Ltd.

Chicago, IL • On-site

Full-time

Posted 18 days ago

Job description

Job Title: Software Engineer - AI Agents (Azure AI Foundry)
Location: Chicago, IL ( 5 days WFO)
Contact
Role Overview:
We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Azure AI Foundry. The role focuses 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.
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, 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)

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

Apply