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Artificial Intelligence Engineer

Techgene

 

Chicago, IL, USA

Posted On: 30+ days ago
Experience: 5+ years
Availability: Onsite
Openings: 1
Category: Artificial Intelligence Engineer
Tenure: Contract - Corp-to-Corp
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Description

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

Education

Bachelor's degree

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