Software Engineer Agentic AI (Amazon Bedrock)

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