Software Engineer – AI Agents (Azure AI Foundry)
Job Location:
Job Location:
Hopkins, MN - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
Yesterday
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Description: Software Engineer AI Agents (Azure AI Foundry)
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
