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# Backend Developer

- **Company:** Allstate Corporation
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $110,000.0 - $150,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, Microsoft Azure, Code Review, Continuous Integration, Software Debugging, Python (Programming Language), Machine Learning, Node.Js, Performance Tuning, OpenAI, Web Application Frameworks, LangChain, ReactJS, Retrieval-Augmented Generation, Open-source Models, Large Language Models, Prompt Engineering, Spring-boot, Generative AI, Backend, Agentic-AI, Fastapi, AngularJS, Kubernetes, HuggingFace, Machine Learning Operations, Front End Software Development, Restful APIs, Docker, Microservices
- **Published:** October 2, 2026
- **Apply:** https://www.thejobnetwork.com/job/ai-software-engineer-509980604

## About the Role

* 3+ years of backend development experience using Java Spring Boot or Python.

 * Strong understanding of RESTful APIs, microservices architecture, and asynchronous processing.

 * Experience working with Generative AI APIs and/or open-source models.

 * Experience with LangChain, LLM orchestration, or RAG (Retrieval-Augmented Generation) pipelines.

 * Familiarity with prompt engineering, embedding models, or vector databases.

 * Strong problem-solving and debugging skills.

Preferred Skills:

 * Exposure to multi-modal AI systems and agentic AI frameworks.

 * Exposure to MLOps and model deployment workflows.

 * Experience with Docker, Kubernetes, and CI/CD pipelines.

 * Experience with cloud platforms (Azure, AWS or GCP).

 * Knowledge of frontend frameworks like React or Angular.

Education

 * 4 year Bachelor's Degree

Experience

 * 4 or more years of experience, Back-End Development, Java (Programming Language), Large Language Model (LLM) Fine-Tuning, Large Language Models (LLMs), LLM Architecture, LLMOps, Machine Learning (ML), Python (Programming Language)

## Description

* Design, develop, and maintain backend services and APIs using modern frameworks (e.g., Java Spring Boot, Node.js, or Python FastAPI).

 * Integrate and deploy Generative AI models (e.g., OpenAI, Hugging Face, LangChain) into production environments.

 * Fine-tune and optimize LLMs for specific use cases.

 * Build secure, scalable, and high-performance microservices.

 * Monitor and improve system performance, reliability, and scalability.

 * Implement CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

 * Deploy and manage applications on cloud platforms, preferably Microsoft Azure.

 * Participate in code reviews, testing, and continuous integration processes.