Software Engineer Consultant II

Allstate•McCullom Lake, IL

About The Position

The Full Stack Developer is a hands-on, full-stack engineer responsible for designing, developing, and supporting enterprise applications and integrations that enable critical business operations. This role spans backend systems, frontend UI, and integration layers, delivering secure, scalable, and high-quality solutions that meet business needs. This includes hands-on experience integrating with Azure AI services such as Azure OpenAI Service and Azure AI Search. The ideal candidate demonstrates strong technical execution, effective problem-solving abilities, and the ability to work successfully within a large-scale enterprise environment that requires adherence to governance, compliance, and security standards. The role includes partial ownership of technical solutions and active participation in design and architectural discussions. This includes a strong understanding of LLM integration concepts such as prompt engineering, retrieval-augmented generation (RAG), and model serving pipelines, familiarity with MLOps practices including CI/CD, production monitoring, and deployment in cloud environments such as Azure and AWS, and experience supporting MLOps workflows for dataset creation, management, and analysis to support model training and evaluation.

Requirements

2 or more years of professional experience in full-stack development.
Strong hands-on expertise in: Java / Spring Boot (backend APIs, microservices)
Python (automation, backend services)
React with TypeScript/JavaScript (modern UI development)
Hands-on experience building chatbot UI features in a production setting.
Strong understanding of microservices architecture and cloud-native principles.
Experience with: Docker & Kubernetes
Relational and/or NoSQL databases (MS SQL, PostgreSQL, MongoDB, DocumentDB)

Nice To Haves

Familiarity with MLOps practices including CI/CD, production monitoring, and deployment in cloud environments such as Azure and AWS.
Experience supporting MLOps workflows for dataset creation, management, and analysis to support model training and evaluation.

Responsibilities

Design, develop, test, and deploy full-stack features using Java/Spring Boot, Python, and React.
Build and maintain secure, scalable RESTful APIs and backend microservices.
Develop responsive, reusable UI components and workflows in React.
Implement system integrations across internal applications and external vendor platforms.
Develop and enhance chatbot user interfaces within React applications.
Build conversational UI features such as: message streams and interaction flows, structured and unstructured response rendering, user input handling and validation, realtime integration with backend services, realtime integration with AI/LLM services.
Ensure the chatbot UI delivers a seamless, intuitive, and accessible user experience.
Hands-on experience integrating with Azure AI services such as Azure OpenAI Service and Azure AI Search.
Strong understanding of LLM integration concepts, including prompt engineering, retrieval-augmented generation (RAG), and model serving pipelines.
Develop and deploy cloud-native applications using Azure or AWS.
Work with Docker/Kubernetes for containerization and orchestration.
Contribute to CI/CD pipelines (Azure DevOps, Jenkins, GitHub Actions).
Collaborate with architecture and platform teams on security, performance, and monitoring.
Familiarity with MLOps practices, including CI/CD, production monitoring, and deployment in cloud environments such as Azure and AWS.
Experience supporting MLOps workflows for dataset creation, management, and analysis to support model training and evaluation.
Participate in agile ceremonies including standups, planning, reviews, and retrospectives.
Collaborate with product owners, QA, architects, and business teams to refine requirements.
Ensure code quality through unit tests, integration tests, and code reviews.
Apply best practices for security, maintainability, and performance.