Role: Software Engineer Agentic AI (Amazon Bedrock)
Location: Hopkins, MN / Minneapolis, MN / Irving, TX / Brookfield, WI / Atlanta, GA / Chicago, IL / Cincinnati, OH (3 day onsite/Week)
Job Type: Fulltime/ Contract W2
Job Description
Role Overview
We are seeking a Software Engineer specializing in Agentic AI to design, build, and deploy intelligent AI agents leveraging Amazon Bedrock.
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 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:
Amazon Bedrock / AWS AI services
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 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
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