Senior AI Software Engineer

Allstate • McCullom Lake, IL

2d

About The Position

At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection. Job Description We are seeking a passionate and skilled Backend Developer with hands-on experience in Generative AI technologies to join our growing engineering team. This role is ideal for someone who thrives on building scalable backend systems while integrating cutting-edge AI capabilities into enterprise applications.

Requirements

• 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.

Nice To Haves

• 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.

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level